Find AI Work That Works for You

false

Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability.As a Software Engineer in the Robotics and Automation group at Radical AI you will focus on vision and perception systems to design, deploy, and scale robust vision-guided automation in fast-moving lab environments.  Your experience and vision will shape both the physical and systematic implementation of lab automation. You will collaborate closely with Roboticists, Mechatronics, Mechanical Engineering and Material Scientists to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. MissionDesign, implement, and deploy 2D and 3D vision systems for robotic manipulation, inspection, state verification, and sensor fusionDevelop vision-guided automation solutions integrating cameras, lighting, optics, and robots in laboratory and industrial environmentsImplement perception pipelines for object detection, segmentation, pose estimation, and feature extractionOwn camera calibration, and system-level accuracy validationDevelop novel algorithms for state estimation of fluids and particle flowsIntegrate vision outputs with robot motion planning, grasping, and task executionTune and harden vision systems for robustness against variability in materials, reflections, and environmental conditionsCollaborate with software, mechatronics, and mechanical teams to translate experimental and operational needs into automated solutionsContribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stackBring an attitude of collaboration and open-mindedness, to facilitate fearless and creative problem solving that empowers our team to ship world class technology at an unprecedented speed.About youMaster’s, Doctorate (or equivalent experience) degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or a related field5+ years of experience designing and deploying machine vision systems in robotics or automation environmentsStrong hands-on experience with 2D/3D cameras, lenses, lighting, and opticsProficiency in Python and/or C++ for production software developmentExperience with common vision libraries and frameworksExperience solving novel computer vision problemsExperience with simulation, sim2real and domain randomization in a computer vision domainExperience integrating vision systems with industrial robots and motion platformsExperience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems)Ability to work independently in a hands-on, development-oriented environment.Strong communication skills and ability to collaborate across engineering and scientific disciplines.PlusesDeep automation experience outside of visionExperience in laboratory automation, materials science, or scientific instrumentationPrior startup experience or ownership of systems from early prototype through productionWhat we offerA competitive compensation package also includes the best in benefits.Medical, dental, and vision insurance for you and your familyMental health and wellness support14+ company holidays per year401K Work closely with a team on the cutting edge of AI research.A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.Salary Description Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

false

AI Engineer Sydney Hybrid | Australia Remote for exceptional candidates About Haast We aren’t just "experimenting" with AI - we are shipping one of the first enterprise-grade LLM platforms delivering mission-critical value to teams today. Our AI helps teams complete compliance reviews 80% faster and boosts productivity by 4x. Think Canva for design or Trello for projects. Now, compliance has Haast.Why this role exists Compliance is a $50B global problem, and we are rewriting how it’s solved. We aren't looking for "ticket-takers" or builders who wait for a specification document to get things going. We are looking for high-agency engineers who have the passion to solve complex problems and the drive to own the solution from the first line of code to the final user interaction. The Role: As an AI Engineer, you won’t just be "tuning prompts." You’ll lead the development of high-impact systems, architecting how our AI detects risks in real-time and ensuring our search infrastructure is robust, fast, and incredibly accurate. How you’ll make an impact: Extreme Ownership: You take full accountability for the AI systems you build, from initial discovery and RAG architecture to production deployment and monitoring.Product-Led AI: You don’t just build "cool tech"; you challenge "why" and "how" to ensure our AI is actually solving the user’s problem with high precision.Technical Agility: You’ll move seamlessly between architecting hybrid search methods (combining vector databases and LLMs) and building the scalable backend logic that powers them.Drive Excellence: You raise the bar for the team. You champion benchmarking, continuous model evaluation, and a "ship fast, but never broken" mentality.Mentorship: You lead by example, fuelling a culture of curiosity, precision, and continuous learning in the AI space.What you’ll bringWhile our environment involves Python (FastAPI), RAG architectures, and hybrid search, we value architectural thinking and clean code over a list of tools on a CV.If you have deep experience in ML engineering, search infrastructure (Vespa, OpenSearch), or building complex real-time inference systems - we want to talk to you. You’re a fit if: You have a Production Track Record: You’ve built and scaled ML/AI systems in the real world (not just in notebooks). We're looking for someone with strong commercial AI experience, ideally at a senior level. You have a Product Mindset: You are driven by impact, not just model accuracy. You care about the business problem we are solving.You are Accountability-First: When you say "I've got the retrieval strategy handled," the team knows it’s as good as done.You are a Polished Craftsman: You have an eye for detail and an obsession with making AI outputs feel reliable, trustworthy, and "right" for the user.You are Curious & Adaptable: You stay ahead of the curve in LLMs and search tech because you love the space, not because it’s your job.Why Haast?Real AI, Real Production: Work on a platform that is already trusted by major global institutions.High Growth, High Stakes: We are a high-performance team. If you are a top performer, you will find more opportunity here than anywhere else.Remote-Friendly & Collaborative: Hybrid for Sydney-siders but open to exceptional candidates across Australia.Equity & Upside: We believe in sharing our success with the people who build it.Ready to shape an industry with enterprise AI? We don’t want a standard cover letter. We want to see your passion.Apply now and include a link to a personal project, a GitHub repo, or a specific piece of work you are genuinely proud of! At Haast, we believe bold ideas come from diverse perspectives. We’re committed to building a team that reflects the world we work in; across gender, background, orientation, ability, and experience. Even if you don’t tick every box, we’d still love to hear from you.No job closing date - Applications will be reviewed on an ongoing basis due to multiple openings in the team. #LI-Remote

false

Friday + Saturday, Jan 30-31, 2026 | Tickets Required DeepLearning.AI Office, Mountain View, CA Join us for an intensive hackathon where you'll go from idea to deployed voice agent in minutes—not months. Build voice experiences that live inside your product: AI tutors that annotate as they teach, financial advisors that navigate dashboards with you, design assistants that respond to "make it bigger" in real-time. Special guests include Andrew Ng from DeepLearning.AI/AI Fund, and Scott Johnston, former CEO of Docker. They'll be sharing insights on Voice AI and judging your final pitches. This intimate event is limited to 80 attendees. Register now. In-person only. There is a short application process, not all applicants will qualify. Apply to attend.

false

About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. What you’ll work on / the team you’ll join We’re building tools for the full Physical AI data stack - from data acquisition, through ingestion and curation at scale to 3D rendering, annotation and verification. You’ll solve problems of large scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models and squeezing performance out of web browsers. Who we are looking for You feel at home with challenging front-end work, such as rendering complex 3D scenes with thousands of objects while maintaining smooth frame rates. You’ll work with the biggest names in robotics and autonomous vehicles. You’ll understand the details of with visual, spatial and sensor data, making sense of reality.You will operate with high degrees of autonomy and be expected to craft at speed. We need performant, reliable and maintainable solutions to challenging problems - both technical and product. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll be a key driver of progress on a core part of our product. What to expect - High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right- Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.- End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.- Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.- Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You - Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed.- Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.- Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.- Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.- Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary, commission and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3+ days a week.- Room to grow into anything you choose to — a year ago we were 50 people, now we're 100+. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle.- 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more.  Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

false

About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. What you’ll work on / the team you’ll join We’re building tools for the full Physical AI data stack - from data acquisition, through ingestion and curation at scale to 3D rendering, annotation and verification. You’ll solve problems of large scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models and squeezing performance out of web browsers. Who we are looking for You feel at home with challenging front-end work, such as rendering complex 3D scenes with thousands of objects while maintaining smooth frame rates. You’ll work with the biggest names in robotics and autonomous vehicles. You’ll understand the details of with visual, spatial and sensor data, making sense of reality.You will operate with high degrees of autonomy and be expected to craft at speed. We need performant, reliable and maintainable solutions to challenging problems - both technical and product. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll be a key driver of progress on a core part of our product. What to expect - High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right- Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.- End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.- Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.- Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You - Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed.- Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.- Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.- Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.- Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary and equity in a hyper growth startup.- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.- Strong in person culture. We're 3-5 days a week in our newly-launched loft office in North Beach.- Flexible PTO to recharge.- Annual learning and development budget.- 18 paid vacation days + federal holidays.- Lots of opportunities for travel (all around the US, to London & Europe).- Bi-annual off-sites and monthly socials.- Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.  Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields. 150,000 - 300,000 a year

false

Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments. What you'll do Collect, process, and analyze large datasets from multiple sources Build and deploy machine learning models to solve business problems Design and implement A/B tests and statistical analyses Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements Communicate complex data insights in a clear and actionable manner to stakeholders Develop dashboards and visualizations to monitor key metrics Stay current with the latest trends and technologies in data science and AI Remove periods at the end of the of each bullet What we're looking for Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field 2 + years of proven experience as a Data Scientist or Data Analyst Strong knowledge of Python/R and SQL Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch) Experience with big data tools (e.g., Spark, Hadoop) Familiarity with data visualization tools Strong analytical, problem-solving, and communication skills While not required, these are a plus: Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc) Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-OnsiteMetropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

false

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About the Internship This role offers a unique vantage point: you will conduct original research while witnessing how those ideas move through a high-growth startup’s Go-To-Market (GTM) motion to create measurable impact for leading enterprises and LLM developers. You’ll work closely with Snorkel researchers on open-ended projects and produce clear research outputs (experiments, prototypes, internal writeups, and potentially publications depending on project fit and timing). What You’ll Do Innovate Human-AI Interaction: Design new paradigms for distilling human expertise into model behavior Define Frontier Capabilities: Collaborate with leading labs to develop the data strategies unlocking the next generation of agentic, reasoning and multi-modal models. See Real Impact in Weeks - something about being able to impact the business in fast cycles Example Project Areas Projects vary by mentor and collaboration needs, but may include: Synthetic data generation + filtering for specialized tasks Evaluation datasets and benchmarks for LLM / RAG / agent behavior Data-centric methods for improving reliability, calibration, and failure-mode coverage Evaluating HITL data annotation processes, gaps, and improvements What We’re Looking For PhD Researcher: Currently pursuing a PhD in CS, Math, or Stats with a focus on ML or NLP and a strong publication record (NeurIPS, ICML, ICLR, EMNLP). Builder-Thinker: You write clean, scalable code to validate your theories and are comfortable navigating complex codebases. Entrepreneurial Mindset: Curious about the business of AI—how startups scale, find product-market fit, and translate technical metrics into business ROI Nice to have Prior work on evaluation, data curation, synthetic data, weak supervision, NLP, or multimodal ML. Experience collaborating with academic labs or participating in research programs. Internship Details Duration: Summer (flexible start/end) Location: Hybrid (Redwood City/SF)  Compensation: Competitive, commensurate with experience Why Snorkel AI Research Snorkel offers the intellectual rigor of an elite academic lab with the velocity of a category-defining technology company. You will gain a macro-view of the AI ecosystem, working where the world’s largest models meet the world’s most complex data. Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

false

About the role We’re hiring an AI Architect to sit at the intersection of frontier AI research, product, and go-to-market. You’ll partner closely with ML teams in high-stakes meetings, scope and pitch solutions to top AI labs, and translate research needs (post-training, evals, alignment) into clear product roadmaps and measurable outcomes. You’ll drive end-to-end delivery—partnering with AI research teams and core customers to scope, pilot, and iterate on frontier model improvements—while coordinating with engineering, ops, and finance to translate cutting-edge research into deployable, high-impact solutions. What you’ll do Translate research → product: work with client side researchers on post-training, evals, safety/alignment and build the primitives, data, and tooling they need. Partner deeply with core customers and frontier labs: work hands-on with leading AI teams and frontier research labs to tackle hard, open-ended technical problems related to frontier model improvement, performance, and deployment. Shape and propose model improvement work: translate customer and research objectives into clear, technically rigorous proposals—scoping post-training, evaluation, and safety work into well-defined statements of work and execution plans. Translate research into production impact: collaborate with customer-side researchers on post-training, evaluations, and alignment, and help design the data, primitives, and tooling required to improve frontier models in practice. Own the end-to-end lifecycle: lead discovery, write crisp PRDs and technical specs, prioritize trade-offs, run experiments, ship initial solutions, and scale successful pilots into durable, repeatable offerings. Lead complex, high-stakes engagements: independently run technical working sessions with senior customer stakeholders; define success metrics; surface risks early; and drive programs to measurable outcomes. Partner across Scale: collaborate closely with research (agents, browser/SWE agents), platform, operations, security, and finance to deliver reliable, production-grade results for demanding customers. Build evaluation rigor at the frontier: design and stand up robust evaluation frameworks (e.g., RLVR, benchmarks), close the loop with data quality and feedback, and share learnings that elevate technical execution across accounts. You have Deep technical background in applied AI/ML: 5–10+ years in research, engineering, solutions engineering, or technical product roles working on LLMs or multimodal systems, ideally in high-stakes, customer-facing environments. Hands-on experience with model improvement workflows: demonstrated experience with post-training techniques, evaluation design, benchmarking, and model quality iteration. Ability to work on hard, ambiguous technical problems: proven track record of partnering directly with advanced customers or research teams to scope, reason through, and execute on deep technical challenges involving frontier models. Strong technical fluency: you can read papers, interrogate metrics, write or review complex Python/SQL for analysis, and reason about model-data trade-offs. Executive presence with world-class researchers and enterprise leaders; excellent writing and storytelling. Bias to action: you ship, learn, and iterate. How you’ll work Customer-obsessed: start from real research needs; prototype quickly; validate with data. Cross-functional by default: align research, engineering, ops, and GTM on a single plan; communicate clearly up and down. Field-forward: expect regular customer time and research leads; light travel as needed. What success looks like Clear wins with top labs: pilots that convert to scaled programs with strong eval signals. Reusable alignment & eval building blocks that shorten time-to-value across accounts. Crisp internal docs (PRDs, experiment readouts, exec updates) that drive decisions quickly. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$201,600—$241,920 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

false

About the role We’re hiring an AI Architect to sit at the intersection of frontier AI research, product, and go-to-market. You’ll partner closely with ML teams in high-stakes meetings, scope and pitch solutions to top AI labs, and translate research needs (post-training, evals, alignment) into clear product roadmaps and measurable outcomes. You’ll drive end-to-end delivery—partnering with AI research teams and core customers to scope, pilot, and iterate on frontier model improvements—while coordinating with engineering, ops, and finance to translate cutting-edge research into deployable, high-impact solutions. What you’ll do Translate research → product: work with client side researchers on post-training, evals, safety/alignment and build the primitives, data, and tooling they need. Partner deeply with core customers and frontier labs: work hands-on with leading AI teams and frontier research labs to tackle hard, open-ended technical problems related to frontier model improvement, performance, and deployment. Shape and propose model improvement work: translate customer and research objectives into clear, technically rigorous proposals—scoping post-training, evaluation, and safety work into well-defined statements of work and execution plans. Translate research into production impact: collaborate with customer-side researchers on post-training, evaluations, and alignment, and help design the data, primitives, and tooling required to improve frontier models in practice. Own the end-to-end lifecycle: lead discovery, write crisp PRDs and technical specs, prioritize trade-offs, run experiments, ship initial solutions, and scale successful pilots into durable, repeatable offerings. Lead complex, high-stakes engagements: independently run technical working sessions with senior customer stakeholders; define success metrics; surface risks early; and drive programs to measurable outcomes. Partner across Scale: collaborate closely with research (agents, browser/SWE agents), platform, operations, security, and finance to deliver reliable, production-grade results for demanding customers. Build evaluation rigor at the frontier: design and stand up robust evaluation frameworks (e.g., RLVR, benchmarks), close the loop with data quality and feedback, and share learnings that elevate technical execution across accounts. You have Deep technical background in applied AI/ML: 5–10+ years in research, engineering, solutions engineering, or technical product roles working on LLMs or multimodal systems, ideally in high-stakes, customer-facing environments. Hands-on experience with model improvement workflows: demonstrated experience with post-training techniques, evaluation design, benchmarking, and model quality iteration. Ability to work on hard, ambiguous technical problems: proven track record of partnering directly with advanced customers or research teams to scope, reason through, and execute on deep technical challenges involving frontier models. Strong technical fluency: you can read papers, interrogate metrics, write or review complex Python/SQL for analysis, and reason about model-data trade-offs. Executive presence with world-class researchers and enterprise leaders; excellent writing and storytelling. Bias to action: you ship, learn, and iterate. How you’ll work Customer-obsessed: start from real research needs; prototype quickly; validate with data. Cross-functional by default: align research, engineering, ops, and GTM on a single plan; communicate clearly up and down. Field-forward: expect regular customer time and research leads; light travel as needed. What success looks like Clear wins with top labs: pilots that convert to scaled programs with strong eval signals. Reusable alignment & eval building blocks that shorten time-to-value across accounts. Crisp internal docs (PRDs, experiment readouts, exec updates) that drive decisions quickly. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$201,600—$241,920 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

false

About you:have done something remarkable, and have undeniable real-world proof-of-talent you can share with usgo from 0 → 1 on an idea before breakfastalways learningbelieve in manifesting the future of physical engineeringAbout us:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).In summary:we are on a missionmultiple hats is the normno politics, low bureaucracyfast, data-driven decision-making; velocity and agility are everythingbelieve in manifesting the future of physical engineeringAbout the role:We are a small team tackling an ambitious problem. If we are successful, it will change the course of history. As such, we have a very high talent bar and are looking for people who have done something remarkable.This role owns the testing and evaluation systems that define whether Archie is actually becoming a better engineer. You will design, implement, and operate the evals that benchmark Archie against real-world engineering skill expectations, ensure it is learning the right things, and prevent regressions as the system evolves.You will work closely with AI researchers, software engineers, domain experts, and industrial partners to translate engineering judgment into scalable, automated evaluation frameworks. Your work will directly shape how we measure progress toward engineering AGI.We don’t care if you’ve done it before. We just need you to be brilliant, mission-driven, and thirsty to learn.This role can be either remote (based in the US or Canada and with existing work authorization) or based in our SF office. If you are remote, you should plan to spend one week out of six co-working with the rest of the company in our SF office. We will support relocation for candidates interested in moving to SF.Compensation:$200 - $250k… for now. This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. You should too, or an early-stage startup might not be for you. That said, we expect cash compensation to progress quickly as the company matures.Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, and unlimited PTO.Interview process:Initial screening call (30 mins)Biographical/behavioural interview (45 mins)Technical interview (60 mins)CEO interview (30 mins)

false

About you:have done something remarkable, and have undeniable real-world proof-of-talent you can share with usgo from 0 → 1 on an idea before breakfastalways learningbelieve in manifesting the future of physical engineeringAbout us:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).In summary:we are on a missionmultiple hats is the normno politics, low bureaucracyfast, data-driven decision-making; velocity and agility are everythingbelieve in manifesting the future of physical engineeringAbout the role:We are a small team tackling an ambitious problem. If we are successful, it will change the course of history. As such, we have a very high talent bar and are looking for people who have done something remarkable.This is a research-meets-production role building the core AI capabilities of Archie. You will collaborate with AI researchers, software engineers, forward-deployed engineers, and domain experts to turn cutting-edge machine learning into real engineering systems used by the world’s leading manufacturers.You will help train, adapt, and deploy large language models, build new agentic behaviors, and integrate Archie with industry-standard engineering tools. Your work will directly shape how physical products are designed and built.We don’t care if you’ve done it before. We just need you to be brilliant, mission-driven, and thirsty to learn.This role can be either remote (based in the US or Canada and with existing work authorization) or based in our SF office. If you are remote, you should plan to spend one week out of six co-working with the rest of the company in our SF office. We will support relocation for candidates interested in moving to SF.Compensation:$200 - $265k… for now. This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. You should too, or an early-stage startup might not be for you. That said, we expect cash compensation to progress quickly as the company matures.Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, and unlimited PTO.Interview process:Initial screening call (30 mins)Biographical/behavioural interview (45 mins)Technical interview (60 mins)CEO interview (30 mins)

false

About you:have done something remarkable, and have undeniable real-world proof-of-talent you can share with usgo from 0 → 1 on an idea before breakfastalways learningbelieve in manifesting the future of physical engineeringAbout us:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).In summary:we are on a missionmultiple hats is the normno politics, low bureaucracyfast, data-driven decision-making; velocity and agility are everythingbelieve in manifesting the future of physical engineeringAbout the role:We are a small team tackling an ambitious problem. If we are successful, it will change the course of history. As such, we have a very high talent bar and are looking for people who have done something remarkable.This role builds the physics simulators that teach Archie how the real world works. You will develop first-principles, acausal models of thermofluid and electrical systems and use them to generate large-scale synthetic datasets that power Archie’s reasoning about physical systems.You will work on chillers, air handlers, cooling towers, hydronic networks, switchboards, transformers, and distribution systems—sweeping your models across thousands of operating conditions, fault modes, and design variants. The fidelity of your simulations directly determines the capabilities of our AI.You will collaborate closely with ML engineers to ensure simulation outputs translate into real-world performance.We don’t care if you’ve done it before. We just need you to be brilliant, mission-driven, and thirsty to learn.This role can be either remote (based in the US or Canada and with existing work authorization) or based in our SF office. If you are remote, you should plan to spend one week out of six co-working with the rest of the company in our SF office. We will support relocation for candidates interested in moving to SF.Compensation:$150 - $200k… for now. This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. You should too, or an early-stage startup might not be for you. That said, we expect cash compensation to progress quickly as the company matures.Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, and unlimited PTO.Interview process:Initial screening call (30 mins)Biographical/behavioural interview (45 mins)Technical interview (60 mins)CEO interview (30 mins)

false

About you:have done something remarkable, and have undeniable real-world proof-of-talent you can share with usgo from 0 → 1 on an idea before breakfastalways learningbelieve in manifesting the future of physical engineeringAbout us:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).In summary:we are on a missionmultiple hats is the normno politics, low bureaucracyfast, data-driven decision-making; velocity and agility are everythingbelieve in manifesting the future of physical engineeringAbout the role:We are a small team tackling an ambitious problem. If we are successful, it will change the course of history. As such, we have a very high talent bar and are looking for people who have done something remarkable.This role puts you on the front lines of deploying engineering AGI in the real world. As a Forward Deployed Engineer, you will own customer deployments end-to-end—scoping problems, designing integrations, shipping production systems, and ensuring Archie delivers real engineering value.You will serve as the technical lead for customer engagements, making architectural decisions, integrating Archie with customer data and tools, and rapidly iterating based on real-world feedback. Early customer solutions frequently become core Archie capabilities, making this a uniquely high-impact role.We don’t care if you’ve done it before. We just need you to be brilliant, mission-driven, and thirsty to learn.This role can be either remote (based in the US or Canada and with existing work authorization) or based in our SF office. If you are remote, you should plan to spend one week out of six co-working with the rest of the company in our SF office. We will support relocation for candidates interested in moving to SF.Compensation:$160 - $200k… for now. This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. You should too, or an early-stage startup might not be for you. That said, we expect cash compensation to progress quickly as the company matures.Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, and unlimited PTO.Interview process:Initial screening call (30 mins)Biographical/behavioural interview (45 mins)Technical interview (60 mins)CEO interview (30 mins)

false

🎤 Why voize? Because we’re more than just a job!At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to admin work that pulls nurses away from what matters most: people.We’re changing that by building the AI companion that frees nurses from admin, giving them back up to 30% of time. We don’t replace humans - we support and amplify their impact. Today, 1,500+ care facilities trust voize, and over 150,000 nurses rely on our AI companion to ease their daily workload.Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs.As a fast-growing team, we combine first-in-class technology with meaningful social impact. And now, we’re looking for you to join us on this mission!💡 Your Mission:If you're excited to work at the cutting edge of product design, applied ML research, and MLOps, then go ahead and apply! With us, you'll build products with direct user feedback, train AI models with real data, and ship new features to production every day.🚀 Your Daily Business – No two days are alikeTake ownership for the full lifecycle of our models: design, training, evaluation, and deployment of our deep learning models in the space of speech recognition and NLPBuild and continuously improve deep learning models for speech recognition and natural language understanding that power our core product and help thousand of usersDevelop and run large-scale self-supervised training pipelines, as well as low-latency inference systems for mobile devices🤝 Your Skillset – What you bring to the tableSeveral years production experience with Python and deep learning frameworks (PyTorch)Experience in NLP and Transformer-based modelsSolid software engineering mindset: clean code, GitOps, Flux, kb8s are second nature to youYou speak business fluent English (C1 minimum) to communicate effectively with our team and customersNice to have: German or French language skills🌱 Growing together – what you can expect at voizeWe are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for peopleWe foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely across GermanyBecome a co-creator of our success with stock optionsGenerous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible, plus free language coursesYou decide when you work best, that means flexible working hours and a good hybrid set-up✨ Ready to talk? Apply now! 🚀We look forward to your application and can’t wait to meet you – no matter who you are or what background you have!

false

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Senior Software EngineerLocation : PuneWorking model : In officeAbout CompanyHackerOne is the trusted security partner for forward-thinking organisations. We deliver proactive protection through a unique blend of human intelligence and cutting-edge AI. Our platform enables companies to continuously discover and fix vulnerabilities across their entire digital ecosystem before adversaries can exploit them.At the heart of our approach is a deep commitment to customer success. We combine the industry’s largest, most skilled community of security researchers with a constantly evolving AI-enhanced vulnerability database to deliver actionable insights and measurable outcomes. Whether it’s through bug bounty programs, AI-driven red teaming, pentesting, agentic security workflows, or on-demand security reviews, we help our customers embed security throughout the software development lifecycle.Our solutions are trusted by leaders across various industries, including Coinbase, GitHub, Goldman Sachs, PayPal, Hyatt, the U.S. Department of Defence, and more, who rely on HackerOne to reduce risk and build secure, resilient systems.In recognition of our innovation and workplace culture, Fast Company named us a Best Workplace for Innovators in 2023 and a Most Loved Workplace for Young Professionals in 2024.Position SummaryAs a Software Engineer IV, you will work closely with the team's senior engineers, Product Managers, and Designers. You’ll also collaborate closely with our Pune in-office Customer Operations team and teams in the Netherlands and North America to solve real-world problems for our global customers.In this role, you will lead complex initiatives and own end-to-end delivery of projects with moderate to large scope. You anticipate delivery risks, align stakeholders early, and maintain quality under tight timelines. Together with the Senior Engineering Manager, you will develop excellent capabilities to serve your customers by combining technical depth with operational discipline, balancing scope, risk, and speed, and surfacing trade-offs to enable informed decisions.HackerOne is investing in a CTEM roadmap that includes agentic work. You will help drive the design and delivery of AI-assisted and agentic capabilities that are measurable, safe to operate, and tied to customer outcomes. You will also raise the bar for platform health and influence HackerOne’s engineering practices to accelerate execution.You’ll combine your technological expertise, domain knowledge, and an unquestionable dedication to business objectives as you intersect with the engineering organisation. You identify and make systematic improvements to technical weaknesses you’ll find in your squad’s codebases, and in shared codebases across the company.What You Will DoYour first month will be spent getting to know our company and your fellow HackerOnies through our well-organised and fun onboarding process called H.A.T.C.H.You will set up your development environment, get a feel for our engineering processes, and embark on a journey to fully understand the domain you will be working with.By day 30, you will have met most of your fellow Engineering HackerOnies, paired with other Software Engineers, developed a strong understanding of our codebases and Security Management products, and be prepared to start hands-on coding.By day 60, you will be involved in building a meaningful part of one of the projects and will have become more connected with our community and various stakeholders.By day 90, you’ll have impressed your colleagues with your technical contributions and earned trust and credibility within your squad and the whole Engineering team by presenting your progress during our review/demo sessions.Long term, you will:Lead complex initiatives as a project lead together with stakeholders, designers and product leadersBuild, ship and maintain highly available, performant and durable features, focused on (but not limited to) hacker-facing areas of our platformDeliver key results for impactful objectives by balancing scope, risk, and speed - raising risks early and creating shared context for why the work matters against the team goals and roadmapBe a part of cross-squad initiatives and influence shared engineering practices to accelerate execution across teamsOnboard, guide, mentor, and delegate effectively to engineers; build leverage by creating clarity, reusable patterns, and strong technical directionLead CTEM and agentic work, including:Owning architecture for agentic workflows (tool use/function calling, orchestration, retrieval/RAG, human-in-the-loop patterns)Building and introducing AI tools that improve delivery efficiency and reduce repetitive work; challenging legacy solutions that slow velocityProactively leading adaptation during change: re-scoping tasks during direction pivots, aligning with Product, and surfacing trade-offs clearly to move decisions forwardImplementing data loops that enable continuous optimisation (quality metrics, capacity/latency/cost trade-offs, velocity signals, and post-launch monitoring) Who are youAt first, a tech-savvy person who likes to work with people and teamsWilling to learn from Senior and Staff Software EngineersOwner of your progress as an individualYou bring 8+ years of software development experience within a modern SaaS environmentYou’re proficient in dynamically typed, OOP languages such as JavaScript, Python, Ruby or similar languagesYou have 5+ years of practical SQL experience (PostgreSQL preferred)You’ve worked extensively with cloud platforms (5+ years, AWS preferred), enabling scalable and automated infrastructureYou have hands-on experience with ReactJS or similar modern front-end frameworksYou’ve led end-to-end technical projects through all phases of the software development lifecycle, and are now looking to apply that experience toward building intelligent, automated, and AI-enhanced security productsMust Have:You have strong experience delivering AI-assisted features or agentic systems into production (or leading a substantial agentic initiative from prototype to reliable launch)Experience with agentic architectures (tool use/function calling, workflow orchestration, retrieval/RAG, human-in-the-loop)Experience with evaluation and data loops (golden sets, offline/online evals, experimentation, quality dashboards, regression monitoring)You can clearly explain measurable trade-offs you’ve made (latency/cost/quality/capacity), and how you used data to drive decisions and iteration.You’re effective in ambiguity: you partner with Product to clarify scope, surface trade-offs, and avoid custom service builds that slow teams later.Preferred QualificationsRuby on RailsReact JSPostgreSQLGraphQLAmazon Web ServicesEmployment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy covers layoffs, recalls, leave of absences, compensation, benefits, training, and apprenticeships. HackerOne makes hiring decisions based solely on qualifications, merit, and current business needs.Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.HackerOne ValuesHackerOne commits to maintaining a strong, inclusive culture built for our employees and our community of security researchers. We are driven by our five core values. We recognise that our mission is bigger than us, and therefore, we act with integrity at all times. As a team, we believe that transparency builds trust, so we default to disclosure in our communications. Each individual executes with excellence, creating an environment of greater alignment and greater autonomy. We win as a team and respect all people to empower everyone to learn from each other, innovate, and grow.Job Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance ProgramFlexible Work Stipend*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

false

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Software Engineer IIILocation : PuneWorking model : In-officeAbout CompanyHackerOne is the trusted security partner for forward-thinking organisations. We deliver proactive protection through a unique blend of human intelligence and cutting-edge AI. Our platform enables companies to continuously discover and fix vulnerabilities across their entire digital ecosystem before adversaries can exploit them.At the heart of our approach is a deep commitment to customer success. We combine the industry’s largest, most skilled community of security researchers with a constantly evolving AI-enhanced vulnerability database to deliver actionable insights and measurable outcomes. Whether it’s through bug bounty programs, AI-driven red teaming, pentesting, agentic security workflows, or on-demand security reviews, we help our customers embed security throughout the software development lifecycle.Our solutions are trusted by leaders across various industries, including Coinbase, GitHub, Goldman Sachs, PayPal, Hyatt, the U.S. Department of Defence, and more, who rely on HackerOne to reduce risk and build secure, resilient systems.In recognition of our innovation and workplace culture, Fast Company named us a Best Workplace for Innovators in 2023 and a Most Loved Workplace for Young Professionals in 2024.Position SummaryAs a Software Engineer III, you will work closely with the team's senior engineers, Product Managers, and Designers. You’ll also collaborate closely with our Pune in-office Customer Operations team and teams in the Netherlands and North America to solve real-world problems for our global customers.In this role, you will be responsible for delivering end-to-end meaningful features and components, proactively managing dependencies and reducing rework through improved planning and execution. You will contribute to HackerOne’s CTEM roadmap, helping build agentic capabilities that combine AI with secure, reliable product experiences - always grounded in customer outcomes and measurable impact.You’ll combine your technological expertise, domain knowledge, and dedication to business objectives as you intersect with the engineering organisation. You identify and make systematic improvements to technical weaknesses you’ll find in your squad’s codebases and in shared codebases across the company.What You Will DoYour first month will be spent getting to know our company and your fellow HackerOnies through our well-organised and fun onboarding process called H.A.T.C.HYou will set up your development environment, get a feel for our engineering processes, and embark on a journey to fully understand the domain you will be working withBy day 30, you will have met most of your fellow Engineering HackerOnies, paired with other Software Engineers, developed a strong understanding of our codebases and Security Management products, and be prepared to start hands-on codingBy day 60, you will be involved in building a meaningful part of one of the projects and will have become more connected with our community and various stakeholdersBy day 90, you’ll have impressed your colleagues with your technical contributions and earned trust and credibility within your squad and the whole Engineering team by presenting your progress during our review/demo sessions Long term, you will:Work together with stakeholders, designers and product leaders to deliver outcomes tied to team goals and roadmapBuild, ship and maintain highly available, performant and durable features, focused on (but not limited to) hacker-facing areas of our platformDrive predictable delivery by identifying and removing blockers, managing dependencies, and reducing rework through better planning and technical decision-makingBe a part of cross-squad initiatives and contribute to shared platform improvements that increase team throughput and qualityMentor and be mentored by other engineers; help onboard and guide IC1s and IC2sContribute to CTEM and agentic work, including:Building AI-assisted and agentic workflows where systems can reason, use tools, and collaborate with humans (with appropriate guardrails)Using data and evaluation to guide iteration (quality metrics, feedback loops, experiments, and post-launch monitoring)Applying first principles thinking to simplify systems and avoid fragile “quick fixes” that slow teams laterWho are youAt first, a tech-savvy person who likes to work with people and teamsWilling to learn from Senior and Staff Software EngineersOwner of your progress as an individualYou bring 5+ years of software development experience within a modern SaaS environmentYou’re proficient in dynamically typed, OOP languages such as JavaScript, Python, Ruby or similar languagesYou have 5+ years of practical SQL experience (PostgreSQL preferred).You’ve worked extensively with cloud platforms (5+ years, with a preference for AWS) to enable scalable, automated infrastructure.You have hands-on experience with ReactJS or similar modern front-end frameworks.You’ve led end-to-end technical projects through all phases of the software development lifecycle, and are now looking to apply that experience toward building intelligent, automated, and AI-enhanced security products.Must Have:You have hands-on experience building AI-assisted features, LLM-powered workflows, or agentic systems (or strong practical exposure through prototypes and iterative delivery)You can explain how you evaluate and operate these systems in production (quality metrics/evals, monitoring, rollout strategy, and failure modes)You’re comfortable working in ambiguous problem spaces, breaking problems down to first principles, and delivering in small, validated iterationsExperience or knowledge with agentic architectures (tool use/function calling, workflow orchestration, retrieval/RAG, and human-in-the-loop patterns)Experience or knowledge with AI/LLM evaluation approaches (golden sets, offline/online evals, experimentation, prompt/versioning discipline)Preferred QualificationsRuby on RailsReact JSPostgreSQLGraphQLAmazon Web ServicesEmployment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, colour, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy covers layoffs, recalls, leave of absences, compensation, benefits, training, and apprenticeships. HackerOne makes hiring decisions based solely on qualifications, merit, and current business needs.Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.HackerOne ValuesHackerOne commits to maintaining a strong, inclusive culture built for our employees and our community of security researchers. We are driven by our five core values. We recognise that our mission is bigger than us, and therefore, we act with integrity at all times. As a team, we believe that transparency builds trust, so we default to disclosure in our communications. Each individual executes with excellence, creating an environment of greater alignment and greater autonomy. We win as a team and respect all people to empower everyone to learn from each other, innovate, and grow.Job Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance ProgramFlexible Work Stipend*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

false

ABOUT NEARAImagine preventing wildfires before they start, or ensuring power grids stay resilient during extreme weather. That’s the real-world impact we create every day at Neara.We build 3D physics-enabled digital twins of critical infrastructure networks that help utilities and infrastructure companies run scenarios, assess risks, and make smarter decisions that affect millions of lives.We’re not just another tech company - we’re one of TIME’s 100 Most Influential Companies 2024. We're making tangible differences in communities worldwide. And we're backed by some of the world’s leading venture capital investors.Our team is passionate, brilliant, and genuinely excited about solving problems that matter. We’ve built something special here: a culture where everyone owns our mission, innovation thrives, and great work gets recognised. And now we’re ready for our next chapter of growth.As a Senior Machine Learning Engineer, you will create machine learning models that drive the digitisation of real-world infrastructure from a variety of data sources such as LIDAR, imagery, and vector data sources. Working at every stage of the ML lifecycle, from data collection and QA to training to model monitoring, you’ll dive deep into the data, decide which problems are worth solving with ML and define the ML strategy for said problems. This will involve staying updated with best practices in data handling, MLOps, as well as the latest advancements in machine learning to integrate new techniques into our platform, ensuring it remains at the cutting edge of the industry. You will also provide mentorship to junior engineers, fostering a collaborative and innovative work environment that encourages continuous learning and growth.At Neara, you will be part of a team that values your ideas, supports your development, and celebrates your successes. If you are motivated and results-driven, we’d like to meet you.Some of the things you will contribute to:Developing approaches to generate accurate electric networks from imperfect data using deep learning and classical ML algorithms Developing and optimising training pipelines to reduce toil and idea-to-evaluation time.Scaling the serving of models for different problems with different characteristics while reducing the time from the first model to production. Improving the speed of model QA and identifying data and distribution drift in the models. Working with a variety of data sources, including LiDAR, aerial photography, photogrammetry & GIS, and building scalable data pipelines to support training and serving.Mentoring other engineers in best practices for model training and software engineering.Some attributes we highly regard:Demonstrated experience with Machine Learning and Deep LearningStrong foundation in software engineeringProficiency in frameworks like PyTorch/Tensorflow/Jax Excellent problem-solving skills as applied to new domains.Ability to work effectively asynchronously and cross-functionally on ill-defined problems.Ability to own problems and proactively approach challengesSome of the benefits we have on offer: Competitive salaryMeaningful ESOPFully Flexible Work Environment. We have a fully stocked office (and an impressive snack collection) in Redfern.Regular office eventsThe real benefit is working on a genuinely complex, innovative and industry-leading product, making a genuine difference in the world around us To apply, please use the online application link below. Neara values diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply.  Please note that you will require current and unrestricted working rights to be considered for the role. Unfortunately, we are not in a position to offer visa sponsorship at this time. No agencies or third-party service providers, please. Questions? Email talent@neara.com.

false

About Loop Loop is on a mission to unlock profits trapped in the supply chain (https://loop.com/article/unlock-profit-trapped-in-your-supply-chain) and lower costs for consumers. Bad data and inefficient workflows create friction that limits working capital and raises costs for every supply chain stakeholder. Loop’s modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, Great Dane, Emerge, and Loadsmart work with Loop. Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson.   About The Role Loop is growing its AI team and you’ll have the opportunity to build both AI models and features that directly impact Loop’s business. Loop is positioned to disrupt the incumbent freight audit and pay market, and is one of the companies leading the AI services wave, utilizing AI to automate complex back-office workflows and tasks. You will face and solve many complex technical challenges while you receive guidance and feedback from the team. The range of work here is broad, you can work on everything from training and deploying in-house multimodal LLMs, scaling our inference infrastructure, or building out and shipping AI agent workflows. In doing so, you’ll have the opportunity to define how the AI and broader Loop team will grow.  What you will work on Our primary focus has been on document extraction and understanding, where we utilize multimodal LLMs, including our own in-house foundation model, to extract, normalize, and link data together into our domain model. As Loop’s customers rely on Loop to ingest and normalize highly accurate data, we hold ourselves to a high standard to build models with a very high level of accuracy. In tandem, Loop’s machine learning platform requires a high degree of reliability and scalability, and we expect our training and inference volume to scale several orders of magnitude in the coming year. Going forward, Loop will expand its AI capabilities, expanding into other areas such as workflow automation and audit, where we will utilize agents to tackle these problems.  This role spans multiple domains: ML modeling – training, evaluating, and deploying models. AI engineering – utilizing and orchestrating API LLM models to solve business problems at Loop. Backend engineering – building out atomic tasks, general backend work in the servicing or automation domain. Some projects you might work on: Building the next generation of our foundation model to scale document extraction to multiple languages as Loop scales internationally. Developing agents to audit freight invoices and ingest long contracts. Qualifications 1+ years of hands-on experience in deep learning frameworks (e.g., PyTorch, Tensorflow, etc.) Solid understanding of fundamental ML algorithms, especially multimodal LLMs. Experience fine-tuning LLMs and deploying them to production or building out agentic systems. Ability to ship high-quality code to production. Experience in cloud environments (AWS, Google, Azure). Strong communication skills and willingness to collaborate in a cross-functional team environment with domain experts. Keep up to date with the latest AI research. Ability to work in a fast-paced environment. Bonus Points Prior startup experience. End-to-end experience building out machine learning models and features. Compensation Base pay 130k - 200k Benefits & Perks Premium Medical, Dental, and Vision Insurance plans Insurance premiums covered 100% for you Unlimited PTO Fireside chats with industry leading keynote speakers Off-sites in locales such as Napa and Tahoe Generous professional development budget to feed your curiosity Physical and Mental fitness subsidies for yoga, meditation, gym, or ski memberships

false

About you:deploy AI systems that solve real problems, not demos.move fast, iterate with customers, ship value.always learning.believe in manifesting the future of physical engineering.About us:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the Role:Our Forward Deployed Engineers serve as the technical lead for each customer deployment, making key technical decisions on architecture, data integrations, and user experience for specific customer missions. On a daily basis, you will build end-to-end AI solutions, take them into production, and support our customers solving real-world physical engineering problems with novel AI capabilities.You’ll own the technical journey from pre-sales scoping through post-deployment support and expansion, connecting Archie’s reasoning capabilities to customer data, tools, and design processes. You will also make substantial contributions to the Archie core product, with early customer adaptations and configurations reused across deployments. This is a high-impact, high-visibility opportunity with potential to scale into a leadership role.Responsibilities:Work with customers over the entire Archie product lifecycle: Lead discovery sessions, translate engineering challenges into AI use cases, design how Archie integrates into each workflow, and provide post-deployment support to ensure customer success.Designing, implement, and refine customer integrations: connect Archie to engineering data sources and tools, iterate until it delivers measurable value.Fine-tune and evaluate AI systems in production environments: identify, collect, and prepare customer data to fine-tune models. Source evaluation criteria and questions from customer sessions to validate improved engineering capability.Collaborate with engineering teams: work closely with subject matter experts and AI specialists to develop novel AI systems capable of executing critical customer engineering tasks.Diagnose and resolve critical issues in live deployments: drive root-cause analysis and implement durable improvements across the organization.Who You Are:You likely:Have shipped data-driven or AI systems to production (Python experience strongly preferred).Can rapidly build integrations between disparate customer systems.Are comfortable working directly with customers and technical leaders.Have integrated or extended AI systems. Bonus points for engineering or scientific domains!As a bonus, you may have:A physical engineering background (physics, aerospace, electrical, mechanical, etc.).Experience with containerized AI services in production.Worked within compliance/regulatory frameworks for safety-critical hardware.Delivered solutions in secure enterprise environments.Handled live production troubleshooting and customer incident response.Our Values:Mission obsession & urgency: We are obsessed with building engineering AGI as quickly as possible. We also recognize that as a startup, speed is our most precious competitive advantage. We are constantly asking ourselves what we can do to go faster. We make tradeoffs and sacrifices (personally and in the workplace) in exchange for speed.Intellectual excellence & curiosity: We ask “what if?” and experiment liberally. We always look for better ways of doing something. We read voraciously. We challenge each other to be better. We surround ourselves with A players and we actively and unapologetically reject B players (and even B+ players⸺because they tend to surround themselves with C players).Shipping discipline: We treat production with respect. We test and demo our product constantly. We listen attentively to our customers, users, and stakeholders, and we respect our commitments to them. We also respect our commitments to each other and will go the extra mile (or ten or one hundred) to honor them. Ownership: We all have significant ownership stakes in the company and operate in founder mode. We believe in hierarchical requirements but not in hierarchical information flows. If we see that something is broken or can be done better, we flag it and we fix it. We encourage each other to play with and fix anything and everything... but there’s a clear owner for everything.Compensation:Salary: $160k - 200k.This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. This role is best suited for candidates who value long-term ownership and impact over short-term cash optimization.Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, unlimited PTO, and meaningful equity.Interview ProcessInitial screening (30 min)Technical manager interview (45 min)AI system design session: customize an AI system to customer needs (60 min)Culture fit / Q&A with CEO (30 min)

false

About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the Role:As a Machine Learning Research Engineer you will be creating the most critical AI features of the core Archie product. You will work closely with fellow AI research scientists, forward deployed engineers, software engineers and subject matter experts to build cutting edge AI capabilities that can perform real engineering design tasks.In this role, you are expected to take ownership and do whatever it takes to deliver game changing capabilities. Your key technical decisions will directly impact how the world’s largest manufacturers and engineers throughout the world design and build physical products. You’ll have the chance to build and deliver applications that leverage state of the art tools in Machine Learning and AI to shape the physical world around us.What You’ll Do:Learn from leading experts in aerospace, electrical, mechanical and automotive engineering to develop AI tools and features that solve real design engineering problems.Collaborate with research scientists to help train large language models and transition them into a core product (Mid-Training, SFT, RL, Post-Training).Build new agentic features and integrations with major engineering design tools.Who You Are:Experience transitioning AI research prototypes into delivered products.Experience building physical systems (Aerospace, Mechanical, Robotics, other).Deep learning experience with strong fundamental understanding about machine learning.Our Values:Mission obsession & urgency: We are obsessed with building engineering AGI as quickly as possible. We also recognize that as a startup, speed is our most precious competitive advantage. We are constantly asking ourselves what we can do to go faster. We make tradeoffs and sacrifices (personally and in the workplace) in exchange for speed.Intellectual excellence & curiosity: We ask “what if?” and experiment liberally. We always look for better ways of doing something. We read voraciously. We challenge each other to be better. We surround ourselves with A players and we actively and unapologetically reject B players (and even B+ players⸺because they tend to surround themselves with C players).Shipping discipline: We treat production with respect. We test and demo our product constantly. We listen attentively to our customers, users, and stakeholders, and we respect our commitments to them. We also respect our commitments to each other and will go the extra mile (or ten or one hundred) to honor them.Ownership: We all have significant ownership stakes in the company and operate in founder mode. We believe in hierarchical requirements but not in hierarchical information flows. If we see that something is broken or can be done better, we flag it and we fix it. We encourage each other to play with and fix anything and everything... but there’s a clear owner for everything.Compensation:Salary: $200k - $265k.This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. This role is best suited for candidates who value long-term ownership and impact over short-term cash optimization.Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, unlimited PTO, and meaningful equity.Interview process:Initial screening (30 mins)Biographic/Behavioral interview (45 mins)Technical Interview (60 mins)Culture fit / Q&A with CEO (30 mins)