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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role The Manufacturing Engineer in the mechatronic systems area plays a pivotal role in optimising production processes, ensuring the highest standards of quality, efficiency, and compliance for mechatronic systems, assemblies and components. This position focuses on the practical application of engineering principles to the factory floor, collaborating across multidisciplinary teams to bring innovative designs to fruition and maintain seamless operations. The day-to-day  Develop, evaluate, and continuously improve manufacturing processes to enhance efficiency, quality, and cost-effectiveness. • Design and implement manufacturing tools, equipment, and procedures, ensuring optimal workflow and equipment layout. • Collaborate closely with design, production, and quality teams to ensure the manufacturability of new products and adherence to specifications. • Support new product introductions (NPI) by developing production plans and assisting with prototypes. • Analyse production data to identify trends, address issues, and recommend process improvements. • Conduct root cause analysis for manufacturing issues and implement effective corrective actions to prevent recurrence. • Ensure strict compliance with aerospace industry standards, safety regulations, and quality management systems (e.g., AS9100). • Prepare and maintain detailed manufacturing documentation, including work instructions, routings, process specifications, and technical reports. • Apply Lean Manufacturing principles and Six Sigma methodologies to eliminate waste, improve productivity, and drive continuous improvement initiatives. • Provide technical guidance and support to the production team. You should apply if you • Bachelor's degree in Manufacturing Engineering, Aerospace Engineering, Mechanical Engineering, or a closely related field from an accredited institution. • 2-3+ years of experience in manufacturing engineering, preferably within the aerospace or defense industry. • Proficiency with CAD software (e.g., SolidWorks, CATIA, NX, Inventor) for designing and modifying parts and assemblies, and creating detailed 3D models and technical drawings. • Strong understanding of aerospace materials and processes, including composite materials and CNC machinery. • Knowledge of quality control standards, including statistical process control and inspection techniques. • Excellent problem-solving skills with an analytical mindset and attention to detail. • Strong verbal and written communication skills, with the ability to effectively collaborate across departments and document processes. • Familiarity with data analysis tools and manufacturing execution systems (MES). Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Scale is the leading data and evaluation partner for frontier AI companies, playing an integral role in advancing the science of evaluating and characterizing large language models (LLMs). Our research focuses on tackling the hardest problems in scalable oversight and the evaluation of advanced AI capabilities. We collaborate broadly across industry and academia and regularly publish our findings.  Our Research team is shaping the next generation of evaluation science for frontier AI models and works at the leading edge of model assessment and oversight. Some of our current research includes: Developing AI-assisted evaluation pipelines, where models help critique, grade, and explain outputs (e.g. RLAIF, model-judging-model). Advancing scalable oversight methods, such as rubric-guided evaluations, recursive oversight, and weak-to-strong generalization.  Designing benchmarks for frontier capabilities (e.g. reasoning, coding, multi-modal, and agentic tasks), inspired by efforts like MMMU, GPQA, SWE-Bench. Building evaluation frameworks for agentic systems, measuring multi-step workflows and real-world task success. You will: Lead a team of research scientists and engineers on foundational work in evaluation and oversight. Drive research initiatives on frameworks and benchmarks for frontier AI models, spanning reasoning, coding, multi-modal, and agentic behaviors. Design and advance scalable oversight methods, leveraging model-assisted evaluation, rubric-guided judgments, and recursive oversight. Collaborate with leading research labs across industry and academia. Publish research at top-tier venues and contribute to open-source benchmarking initiatives. Remain deeply engaged with the research community, both understanding trends and setting them. Ideally you'd have: Track record of impactful research in machine learning, especially in generative AI, evaluation, or oversight. Significant experience leading ML research in academia or industry. Strong written and verbal communication skills for cross-functional collaboration. Experience building and mentoring teams of research scientists and engineers. Publications at major ML/AI conferences (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and/or journals.   Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We do not ask LeetCode-style questions.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:$260,000—$350,000 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, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. 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.

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We are seeking an Operational Analysis Lead to drive the modeling, simulation, and analysis of Shield AI’s autonomous aircraft systems. This role is pivotal in evaluating the mission effectiveness, survivability, and operational impact of our next gen UAS and other autonomous platforms. You will work closely with engineering, product development, and defense stakeholders to inform design trade-offs, assess system performance, and optimize mission capabilities. This position requires a deep understanding of military operations, wargaming, modeling & simulation (M&S), and operational analysis techniques. Your work will directly shape Shield AI’s strategy by identifying how our AI-powered aircraft can best serve the evolving needs of modern warfare. What you'll do: Develop and execute operational analysis strategies to assess the effectiveness of autonomous aircraft in real-world military scenarios.Lead modeling, simulation, and wargaming efforts to evaluate system performance, mission impact, and survivability in contested environments.Work closely with engineering teams to translate operational insights into design decisions and system improvements.Conduct trade studies and sensitivity analyses to assess system performance under varying operational conditions and threats.Utilize advanced modeling & simulation tools (e.g., AFSIM, STK, MATLAB, Python) to develop high-fidelity mission models.Analyze force-on-force engagements, sensor effectiveness, and autonomy-driven decision-making to optimize mission success.Collaborate with DoD stakeholders, operators, and warfighters to understand mission needs and align system capabilities with operational requirements.Develop and present technical reports, briefings, and recommendations to senior leadership, customers, and government agencies.Support concept of operations (CONOPS) development for new AI-driven aircraft capabilities.Identify emerging threats and operational challenges, ensuring Shield AI’s systems remain ahead of adversary capabilities. Required Qualifications:10+ years of experience in operational analysis, modeling & simulation (M&S), or military operations research.Expertise in military mission analysis, operational planning, and wargaming methodologies.Proficiency with AFSIM, STK, MATLAB, Python, or other M&S tools used for aerospace and defense applications.Deep understanding of air combat, ISR, electronic warfare, or autonomous systems in contested environments.Experience working with DoD stakeholders, warfighters, and government agencies to align capabilities with mission requirements.Strong analytical skills with the ability to interpret large datasets and translate findings into actionable insights.Excellent communication and briefing skills, with experience presenting to senior leadership, customers, and military personnel.Ability to work in a fast-paced, agile development environment with shifting priorities. Preferred Qualifications: Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.Familiarity with DoD acquisition processes, Joint Capabilities Integration and Development System (JCIDS), and military operational testing.Experience integrating AI-driven decision-making algorithms into operational analysis frameworks.Prior military service or experience working with U.S. Air Force, Navy, or Special Operations Forces.Active Secret or Top-Secret clearance (or ability to obtain one).

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What You’ll DoBring Enterprise-grade AI Agents to the World: We're on a mission to revolutionize the way consumers & businesses interact by empowering every business to build a world-class AI agent that fully represents its identity and brand. Your work will make this a reality.Solve for the Customer: We serve multiple stakeholders – People looking for help from our Agents, CX managers using our tools to monitor and improve the process, and Developers looking to build on and extend our platform. Each of these has a unique set of needs and product challenges.Innovate: AI Agents represent a new frontier. Discovering new tools and processes for building agents will be among the defining characteristics of the next generation of companies.Collaborate: Partner closely engineering, design, leadership, and the entire company to define and build a seamless and cohesive experience. Advise: Become trusted and strategic advisor to our customers, in partnership with our sales, go-to-market, and forward-deployed teams.End-to-End Ownership: Lead the product through all stages from concept to excellent execution, in close collaboration with cross-functional partners.What You’ll BringProven Experience: Extensive experience in product, engineering or related field, with background leading products from ideation to launch. Curiosity: Passion for deeply understanding user needs and finding the right solutions from first principles. Ability to operate in high ambiguity and build new, 0–1 bets.Excellent Collaboration: Product is a team sport, and building great products means working closely with engineering, design, customers, leadership, and more to help bring ideas to life.Excellent Communication: Strong verbal and written communication skills, with the ability to articulate complex problems, concepts and decisions to various stakeholders.Strong Values Alignment: Embodies our values and culture.Adaptability and Resilience: Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace. Even Better...Experience designing for AI-driven products or conversational interfaces.Experience working on enterprise and/or developer products, including SDKs, APIs, and technical tooling.Experience with Typescript, React, and other programming languages.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Scale is growing rapidly and joining the International Public Sector team is an opportunity to join one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved: Building custom LLMs Providing high-quality training data for research institutions building LLMs from scratch Partnerships, up skilling, and advisor As an early member of our operations team, you will be accountable for driving millions in new revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will be leading the development of some of our custom LLM solutions or leading data production initiatives for premier research institutions in the Middle East. You will be solving complex operational problems and working cross functionally with our engineering teams, government stakeholders, and product orgs, to ensure high quality. The ideal candidate is scrappy, analytical, detail-oriented, empathetic, outcome-focused, a strong writer, and above all someone who drives and inspires results. You will: Work on cross-functional development of custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market) Consistently read AI/ML research papers to keep up-to-date on the best approaches for customizing / training LLMs Work on fine-tuning (post-training) data production pipelines to improve the custom LLM solutions as needed Work on the continuous evaluation of custom LLMs Drive the technical and operational partnership with research institutions Have native fluency in Arabic and English Build and drive some of our most critical operational processes Own the day-to-day delivery of customer commitments Ideally, you’d have: 2+ in an operational role and/or a top-tier consulting firm An undergraduate degree in computer science, business, engineering, systems, finance, logistics, communications, journalism, or a related field Strong attention to detail Strong writing and verbal communication skills, with an emphasis on grammar, proofreading and copy editing An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Analytical, planning, and process improvement capability Nice to haves: Hands-on experience in machine learning, especially in NLP (during a previous role or in school) Technical skills including familiarity with APIs, large language models, machine learning, and advanced querying languages  Ability to use SQL, Python, or other data analysis tools Entrepreneurial experience and mindset - you are excited about building things from scratch PLEASE 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, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. 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.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doDesign and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projectsThese are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bringExperience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better...Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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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. Who we are looking for We're looking for an outstanding engineer to push our platform to the next level. 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 drive our product and team to new heights.Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 50; now, we’re over 100 and continuing to accelerate. What to expect High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own.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. On the other hand, as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together, and you will have amazing team mates to get guidance and learn from.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 personally developed and maintained multiple systems from scratch or significantly contributed to major changes to existing systems. 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.

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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. Who we are looking for We're looking for an outstanding engineer to push our platform to the next level. 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 drive our product and team to new heights.Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 50; now, we’re over 100 and continuing to accelerate. What to expect High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own.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. On the other hand, as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together, and you will have amazing team mates to get guidance and learn from.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 personally developed and maintained multiple systems from scratch or significantly contributed to major changes to existing systems. 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.

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary  • As our AI Solution Architect, you'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely IC role.• You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.• You'll partner with Sales Executives in tailoring Mistral's offering into impactful solutions meeting with prospects needs• You'll design implementation projects and scope the required resources on both Mistral and customer side• You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations.• You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production.• You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs.• You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages.• You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world.• You will travel approximately 30 to 60% of your time.• Your role will involve spending time at the client’s office. What you will do Your scope will be as follows: Pre-Sales & Sales Activities:• Conduct pre-sales calls to understand potential clients' needs, challenges, and aspirations.• Lead qualification calls to pinpoint prospects who would gain the most from our solutions.• Collaborate with the sales team to advance the sale pipeline, providing technical expertise and insights where necessary. Product Implementation, Integration & Deployment:• Guide and support customers in deploying our models and products into their infrastructure.• Work closely with customers to fine-tune models according to their specific requirements.• Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience.• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.• Design and develop product features that would meet the need of many customers. Customer Success & Support:• Continually ensure that the customer is maximizing the product's potential.• Provide post-deployment support, addressing any issues or challenges that arise promptly.• Conduct periodic reviews with customers to ascertain their satisfaction and gather feedback.• Offer recommendations for product optimisations or new features based on customer feedback.• Develop these features if needed. Delivering value to the customers:• Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.• Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process• Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.   About you • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• You have been involved in a customer facing role• Passion for AI, with a constant drive to stay updated and ahead of the curve• Proven experience in product implementation in AI or machine learning products• You have strong project & stakeholder management skills• You are proficient in developing custom prototypes using frameworks in Python or Javascript• You have foundational knowledge in AI/ML/Data science• Proficient in understanding and developing code• Familiarity with front-end interfaces and integration processes.• You have ability to connect technology and business value • You are result driven and resilient• Fluent in English • Being familiar with sales qualification concepts is a strong plus We are looking for adaptable team players who excel in a fast-paced environment and are ready to frequently support pre-sales as well as deployment tasks, contributing to our shared goals and success. Hiring Process • Talent Acquisition screening call• 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution)• 30min Value Talk • Reference check

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Portfolio Tech Lead – Infinity MENAAbout Infinity MENAInfinity Constellation is expanding into the Middle East with the launch of Infinity MENA, a new regional holding company. Infinity builds and scales AI-driven businesses in essential service sectors, creating long-term compounding value. Infinity MENA will localize Infinity’s proven business models and launch new ventures that respond to regional opportunities.We are seeking a Portfolio Tech Lead to drive the localization, technical launch, and scaling of multiple business units within Infinity MENA. This role is hands-on from day one: you’ll be coding in our stack (Python + TypeScript), leading a small team, and deploying AI automation systems. Over time, this position evolves into a portfolio-level technology leadership role overseeing technical direction across multiple Infinity MENA businesses. This role is based in Dubai.ResponsibilitiesHands-On Development & LaunchWrite production-grade code in Python and TypeScript, Infinity’s core stack.Build and integrate AI agents, automation pipelines, and AI-first workflows into Infinity MENA business units.Stand up infrastructure, data pipelines, and AI-enabled product features for MVP launches.Lead and mentor a small founding engineering team (1–5 engineers) while setting coding and delivery standards. Localization & RegionalizationCustomize Infinity’s platforms for the MENA market (Arabic/English systems, payments, compliance, hosting, and data residency).Ensure AI-enabled processes are culturally and legally aligned with regional requirements.Translate Infinity’s global playbooks into MENA-specific systems while ensuring interoperability with the global platform. Scaling & LeadershipTransition from player-coach to portfolio-level leader as Infinity MENA companies scale.Partner with BU CEOs and founders to architect scalable AI-first systems and hire/mentor regional engineering leaders.Build shared technical services (DevOps, AI/ML infrastructure, analytics, IT, security) to accelerate scale across companies. AI Strategy & GovernanceBe the senior-most AI/automation expert in MENA, advising Infinity leaders on where to deploy AI agents and automation for maximum leverage.Evaluate, prototype, and implement AI frameworks (ex. LangChain, n8n, RAG systems, multi-agent coordination, etc.) across businesses.Ensure AI systems meet data security, safety, and reliability standards, especially in regulated industries (finance, healthcare, logistics). Advisory & Portfolio SupportServe as a trusted advisor to the Infinity MENA CEO and board on technical risks, AI adoption, and portfolio-wide opportunities.Represent technology in board meetings, portfolio reviews, and investor discussions. RequirementsExperience8–12+ years in software engineering and technical leadership, with a hands-on coding background.Strong experience in Python and TypeScript (Infinity’s core stack).Demonstrated expertise in AI automation, AI agents, and applied ML/LLM systems.Track record of launching or localizing products in multiple geographies (MENA experience preferred but not required).Prior experience in a portfolio/holding company, startup studio, or VC/PE-backed scaling environment is a plus. Skills & CapabilitiesDeep understanding of cloud infrastructure, DevOps, and scalable architecture.Practical knowledge of AI frameworks (e.g., LangChain, LlamaIndex, CrewAI, AutoGen, fine-tuning pipelines).Strong knowledge of MENA-specific technical considerations (localization, payments, regulatory environments).Ability to ship code today and build/scale teams tomorrow. MindsetBuilder-operator: thrives in hands-on coding mode, then scales to team-building and governance.Entrepreneurial, adaptable across multiple businesses and teams.Collegial, intellectually honest, and able to red-team assumptions to drive the highest standard of execution. What We OfferA once-in-a-decade opportunity to build the Infinity MENA technology foundation from scratch.Immediate hands-on impact with clear growth trajectory from founding engineer/lead → portfolio CTO.Exposure to multiple industries, founders, and CEOs, with portfolio-wide influence.Competitive compensation, including long-term equity incentives aligned with Infinity’s compounding value philosophy.A collegial, ambitious culture that balances innovation with discipline.

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💥 Your impactOnyx is a popular open source project with hundreds of thousands of users. The project has over 13K stars and over 3K community members across Slack and Discord (these stats may already be out of date when you read this). You’ll have the opportunity to build in the open and your work may be used by millions of people in the future.💡 About the roleAs an early hire, you'll play a pivotal role in shaping the core product. Help us become the biggest “GenAI for work” application in the world!You’ll be:Doing everything frontend for the default open-source chat interface, enterprise search platform, and agent builder. Some specific features:Beautiful core search and chat experience (animations, speed, etc.). Think building the UI/UX layer for Perplexity AND ChatGPT in one.Huge feature set: workspace search, internet search, code interpreter, artifacts, deep research, and so much moreCollaborating closely with the design team + foundersSetting frontend priorities and best practicesBuilding an exceptional design / frontend engineering cultureFostering an open-source community; guiding contributors on adding to the frontendThis is an in-person role based in San Francisco, CA.🚀 You’ll be successful if you have…4+ years of frontend engineering experience building complex, user-facing applicationsHave an incredible bar for yourself and for others. You want your work to be exceptional, and accept nothing less.In-depth experience with JavaScript, TypeScript, React, NextJS and other modern frontend technologiesExcellent communication skills and ability to collaborate with cross-functional teamsStrong product/design intuition.⭐ Bonus pointsFamiliar with Python, PostgresDegree in Computer Science or related technical fieldPrevious founder or early engineer at seed/series-A startup🤝 Why you should join usYou like working with brilliant (yet humble), thoughtful, and collaborative peopleGreat benefits including fully covered health/dental/vision and transportation reimbursementFree meals — We have our Mix’t loyalists and a rebel faction of unhealthy eatersStocked kitchen with drinks, snacks, matcha and an espresso machineMonthly company outings (bike rides to Mt. Tamalpais, escape rooms, etc.)We enjoy friendly competition — we built an internal ELO system to find the best ping pong players on the teamExceptional compensation packages for exceptional people

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role We're looking for an experienced engineering leader to build and lead our Public Sector Engineering team as we scale Claude across all levels of government worldwide. This role requires deep expertise in developing mission-critical software solutions that meet the most stringent security, compliance, and operational requirements in the world. As the Engineering Manager for this team, you will work at the intersection of cutting-edge AI capabilities and the most demanding deployment environments, from local and federal agencies to international government partnerships. You'll collaborate closely with product, policy, partnerships, sales, and applied AI teams to deliver solutions that directly influence how democratic institutions deploy and govern advanced AI systems. Responsibilities Build and lead a high-performing team of engineers focused on public sector software solutions and research Define and execute the technical strategy for public sector initiatives, including architecture decisions for airgapped networks, zero-trust security frameworks, and government compliance requirements (FedRAMP High, IL-5) Lead technical delivery of specialized capabilities including workflow automation and MCP integrations with government systems Collaborate very closely with research on AI models for government applications and workflows Create clarity and technical direction in a fast-moving environment with unique constraints You may be a good fit if you have 5+ years of experience as a product-minded engineering manager, with at least 3 years leading teams building software for enterprise or government Strong technical background with proven success building and shipping applications that meet the highest security and compliance standards Experience integrating and working with AI/ML models and understanding their capabilities Experience recruiting, scaling, and retaining engineering talent in a high-growth environment Excellent leadership and communication skills, with ability to work effectively across functions Strong candidates may also have Startup experience, particularly in scaling products from zero to one Experience partnering with sales, customer success, and professional services teams to drive product adoption Experience with government security frameworks The expected salary range for this position is:Annual Salary:$405,000—$485,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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At TensorWave, we're leading the charge in AI compute, building a versatile cloud platform that's driving the next generation of AI innovation. We're focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what's possible in the AI landscape.About the Role: We are looking for an AI Infrastructure Engineer with a passion for high-performance computing and distributed systems. The ideal candidate will support our vision by developing and managing the compute infrastructure that underpins our innovative AI cloud services. This role involves building and maintaining robust AI clusters, ensuring optimal performance and reliability for our clients' most demanding workloads.Responsibilities:Collaborate with a dynamic IT team to design, deploy, and maintain high-performance AI compute clusters supporting both AMD and NVIDIA GPU technologies.Lead initiatives to optimize cluster performance, resource utilization, and job scheduling to maximize efficiency across diverse AI workloads.Ensure system reliability, performance, and security for cloud services, implementing monitoring solutions and automated recovery systems.Work closely with the AI development team to align infrastructure capabilities with the evolving needs of TensorWave's cloud platform.Troubleshoot and resolve complex infrastructure issues across Linux systems, networking, and distributed computing environments, providing expert guidance to maintain high service levels.Implement and maintain configuration management, deployment automation, and infrastructure-as-code practices.Essential Skills & Qualifications:Bachelor's degree in Computer Science, Information Technology, or related field.At least 5 years of relevant experience in infrastructure engineering, with a focus on supporting high-performance computing (HPC) and AI applications.Expert-level Linux system administration skills across multiple distributions.Strong experience with clustered computing environments (GPU, CPU, or hybrid clusters).Solid understanding of networking fundamentals, including TCP/IP, routing protocols, and high-speed interconnects.Experience with container technologies (Docker, Kubernetes), job schedulers (Slurm, PBS), and configuration management tools.Familiarity with AMD and NVIDIA GPU ecosystems, CUDA, ROCm, and their infrastructure requirements.Exceptional debugging and problem-solving abilities with a methodical approach to complex system issues.Demonstrated ability to learn new technologies quickly and adapt to rapidly evolving infrastructure needs.We're looking for resilient, adaptable people to join our team—folks who enjoy collaborating and tackling tough challenges. We're all about offering real opportunities for growth, letting you dive into complex problems and make a meaningful impact through creative solutions. If you're a driven contributor, we encourage you to explore opportunities to make an impact at TensorWave. Join us as we redefine the possibilities of intelligent computing.What We Bring:In addition to a competitive salary, we offer a variety of benefits to support your needs, including:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role: We're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Responsibilities: Architect and implement cutting-edge Android applications Develop novel solutions leveraging AI technologies Optimize performance at all levels of the mobile stack Champion best practices in mobile development Obsessive attention to detail and app experience Contribute to backend systems as needed You might be a good fit if you have: 7+ years of Android development experience and proficiency with latest mobile platform capabilities/intricacies, including Expertise in Kotlin, Jetpack Compose, Android SDK and the Android ecosystem Practical experience with full-stack development and comfort working with backend technologies 0 to 1 experience building successful products in early stage environments  A proven track record of shipping impactful, high-adoption mobile applications Experience building applications that utilize modern ML/AI technology Excellent communication and mentorship skills Thrive in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates Strong candidates may have: 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality The expected salary range for this position is:Annual Salary:$320,000—$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Location: Buenos Aires, Argentina (Hybrid)About The Mobile-First CompanyMost tools for small businesses weren’t built for real operators. They were built for employees in offices, not people running a business from their phone.We’re changing that.We build mobile-first business software that feels like a consumer app, runs on AI, and spreads like a creator brand. Our first product, Allô, gives you a second number on your phone, answers missed calls with AI, transcribes everything, and syncs it to your CRM.Over 20,000 businesses use it every day. Next up: expenses, invoicing, and more.We’ve raised +5 million dolars from Lightspeed, EMBLEM, and 30+ top operators. Our team is based in Paris, Buenos Aires, Miami.Drive the evolution of our backend technology, infrastructure, and AI capabilities to ensure high performance, scalability, and seamless integration for our mobile applications.What will you do:Work side by side with our CTO to build the foundations, the present, and the future of our backend, and AI systems.Develop and enhance backend systems for both existing and new applications in conjunction with mobile engineers.Contribute to systems design, infrastructure planning, CI/CD processes, and data workflows.What you'll be working on:Implementing and maintaining scalable and reliable backend systems using languages like Kotlin, Java, Go, Python or similar.Designing and defining backend tools, databases, and the architecture of our apps.Working directly with Cloud services (e.g., AWS, Supabase, Cloudflare).Creating tools, libraries, or components to enhance the efficiency of backend development processes.What we’re looking forBackend Engineering:Proficiency in backend development with expertise in languages like Kotlin, Java, Go, Python or similar.Familiarity with database design, management, and optimization.Track record of building and maintaining scalable and reliable backend systems.Experience with AI is a strong plus, especially in applying models to real-world product use cases and optimizing performance in production environments.Systems Architecture:Expertise in designing scalable and maintainable backend architectures, understanding when to apply different architectural patterns.Capable of monitoring the whole architecture using tools like New Relic or Datadog.Performance and dataYou know how to build scalable and maintainable codeYou care about what to measure and how it impacts business and usersYou track behavior, usage, and performance, and improve based on itHow you thinkYou care about why we build things, not just how.You ask smart questions, challenge ideas when needed, and help shape what’s next.You think in terms of user value and business impact.How you workYou communicate clearly, give feedback with no ego, and help others grow.You move fast, take ownership, and thrive in ambiguity.You're comfortable working in English — and in a small team with big goals.What matters to usYou’ve worked in product companies6+ years of experience designing and building high-performance systems used by millions.You’re proactive, autonomous, and know how to fill the gapsYou can communicate in English, since that's our official language. Most of the team also speaks Spanish and French.What we offerCompetitive salary (in USD or local equivalent)Equity package10-day team retreats abroad every quarter30-day onboarding in Paris (we cover flights and housing)Laptop and work setup of your choicePrivate health insurance (for US or LATAM hires)A tight, ambitious team building something real — fastThe Interview Process:Silver.dev Recruiter ScreeningClient People Interview Client Technical InterviewClient Behavioral Interview

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De parte de GabrielEste proceso incluye relocation a San Francisco.Domu presenta una oportunidad para adelantar tu carrera varios pasos.En un mapa de carrera puede tomarte más de 5 años tener los logros, la experiencia y el perfil para conseguir una oferta para trabajar en San Francisco. Tener una YC en el cinturón trabajando en San Francisco cambia la pendiente de tu carrera para siempre. Domu tiene una cultura de trabajo intensa, enfocada en perfiles enérgicos - tiene más ventas y crecimiento que lo que puede manejar el equipo de ingeniería actual, y por eso se trabaja muy intensamente. Este proceso lo manejo yo personalmente. Te voy a dar apoyo end-to-end para inmigración, preparación de entrevistas y counseling. Y vos vas a tener que poner todo lo que tenés para tener una chance.Los perfiles que voy a buscar tienen al menos 3 años de experiencia laboral en una startup y necesitan estar completamente comprometidos a prepararse para esta life-changing opportunity.About Domu Technology Inc.Why you should consider joiningDomu.ai is one of the very first voice-AI startups powering collections and servicing for the world’s biggest financial institutions. Only a handful of companies have entered this space, and we’re already handling thousands of live calls every day for Fortune 500 banks and insurers. Our ARR has tripled, and we’re on track to become the gold standard in financial-services voice AI.We move fast, ship daily, and refuse to stop until our product outperforms expectations. We deeply care about doing great work.CultureHeavy GrindingGo to the office every dayhigh-urgencygreat work0 egoWhat you'll doTake ownership of the entire product and make decisions at the product level instead of merely following orders.Talk with customers.Do what others don’t want to do. You may need to get into areas like telephony.Encourage the team to improve continuously.Make architectural decisions.Help shape the engineering culture.Ensure our DX is exceptional and makes it easy to ship day 1.Spend a significant portion of your time coding, likely over 80%.You're a fit ifYou were the first hire at another company.You were part of a startup post-Series A from the beginning of the company.You're comfortable building full-stack features.You care about product, not just code.You've owned something meaningful end-to-end in the past (a product module, an infra refactor, etc).You're resourceful and comfortable with ambiguity. You figure things out.Why join usYou'll be part of a strong engineering-first culture. It's still early to join the team.Post-revenue, working with Fortune 500 companies alongside a small engineering team of 4 full-time engineers.Full ownership and trust, with zero bureaucracy and ego.You want to work with enterprises and learn how to close enterprise deals from an engineering perspective.You want to join a team that considers itself A players and strives to improve every day, nonstop.

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  The Company You’ll Join  Amperon is a technology company at the intersection of energy data and AI. Specializing in data management infrastructure, coherent AI/ML models, and leading-edge predictive analytics, Amperon helps the full spectrum of power and utility companies to improve grid reliability, optimize asset economics, and accelerate decarbonization. With a commitment to grid modernization and decarbonization, Amperon is the forecasting company of the energy transition.  We bring the brightest minds from energy, security and technology in order to combat climate change and transition to clean energy solutions. We have an office in Houston, TX but are a remote-first company.    Our Strategy  Amperon seeks to modernize the grid data and AI software stack to improve reliability, optimize asset economics, and accelerate decarbonization for grid operators, asset owners, and end-users. We're building the next generation of market-leading energy analytics and forecasting products, and we want you to be part of our journey!    About The Role  We use machine learning and data analytics to analyze large volumes of data, uncover patterns, and make predictions that can be invaluable in the energy sector. Our team manages deep and valuable data around energy supply and demand that can lead to more efficient and sustainable energy systems. We are a small growing team with the opportunity to build high-velocity machine learning from scratch.    You’ll be  Implementing data validation and cleaning processes to identify and rectify errors or inconsistencies in the incoming data.  Building advanced time series forecasting models at scale.  Creating relevant features that can improve forecasting accuracy, such as lag features, rolling statistics, and domain-specific variables.  Continuously monitoring the training process and evaluating model performance on the validation set.  Deploying well-performing models into a production environment.  Analyzing historical data and real-time information to determine changes in energy consumption.    We Think This Role Would Be A Great Fit If You Have  Senior-level expertise with building machine learning algorithms.   Extensive experience with data collection and data processing.   Experience with techniques like data cleaning, normalization, and feature engineering to prepare the data for modeling.   Experience with time series analysis and predictive modeling. Experience with Python and other modeling tools.    Benefits & Perks  While we are serious about our company's culture, we aren't going to force "culture" to prove that we are cool and fun. It’s a company filled with smart, genuinely nice individuals who are passionate about data science, energy and working together to build a product that can have a lasting impact on our planet.  Even though we are a remote company with employees spread across the globe, we still believe human interaction is a good thing. We will also have an all-company event at least once a year so people can get to know each other in a more fun and social way.  Competitive salary plus stock option package  Medical, dental and vision insurance   Annual company retreat   Flexible PTO policy  Remote-first  If you are excited about contributing to a product that can have a lasting impact on our planet and you thrive in fast-paced, innovative environments, we would love to hear from you.  Salary: $120,000-$160,000  

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Role SummaryHelp define and deliver Lambda’s next-generation Identity and Access Management platform - powering secure, intuitive, and scalable access control for customers ranging from early-stage startups to the most superintelligent AI teams in the world.You’ll design IAM systems that anticipate the needs of highly technical users who will stress-test every workflow, integration, and permission model. Your charter will be to lead the design and implementation of our IAM vision: Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services.What You’ll DoDesign and build intuitive, beautiful web interfaces for ML/AI cloud usersIntegrate top-tier tooling, workflows, and models from the AI spaceOwn features end-to-end—from design to deployment to monitoringYou (Must-Haves)8+ years of backend or platform engineering experience, with 3+ years leading IAM or authentication/authorization initiatives.Deep expertise in modern IAM patterns and technologies:Authentication (OIDC, OAuth2, SAML)Authorization (RBAC, ABAC, fine-grained permissions)MFA and advanced authentication factorsSCIM and identity lifecycle managementExperience integrating and customizing third-party identity platforms (e.g., Auth0, Okta, WorkOS) at scale.Strong architecture and systems design skills for distributed, multi-tenant SaaS environments.Proven track record of delivering IAM features in security-sensitive, high-uptime environments.Solid programming experience in Python, Go, or similar languages, plus comfort with IaC (Terraform, Atlantis, Crossplane).Nice-to-HavesExperience designing IAM systems for ML/AI or cloud infrastructure products.Hands-on experience with enterprise onboarding flows.Prior work on multi-cloud or hybrid identity solutions (AWS, GCP, Azure).Contributions to IAM standards or open-source identity projects.Leadership or mentorship experienceStrong academic background (EECS, Math, Software Engineering, Physics)Salary RangeThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.Final NoteYou don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. San Francisco, CA Perplexity is building the next generation answer engine that helps millions of people find information more effectively. We're looking for an AI Interaction Designer to craft conversations that are clear, helpful, and genuinely useful. What You'll Do You'll design how our AI communicates with users, transforming complex queries into clear, actionable responses. This is conversation design at scale—creating the communication patterns that millions of people rely on every day. This role involves: Building evaluation systems that maintain quality as we scale Creating feedback loops between user needs and AI improvements Collaborating with researchers, product teams, and engineers across the company What We're Looking For Exceptional Taste You have an intuitive sense of what makes communication work. You can spot the difference between a good response and a great one, and you know how to make it better. Technical Fluency You don't need to be a researcher, but you can hold your own with our technical teams. You're comfortable with Python, understand how language models work, and can implement your ideas through code. You naturally think about how individual improvements can scale across thousands or millions of interactions. You've built processes that work at scale before. Curiosity and Drive You're someone who elevates everyone around them. You have high standards but bring people along rather than leaving them behind. You're fascinated by how people naturally communicate and how technology can serve them better. Qualifications: Demonstrated passion for AI and can share specific prompt engineering and chaining projects you're proud of Background in data science, philosophy, psychology, linguistics, data science, or related fields Familiar with Python and running simple scripts High-level understanding of LLMs, training, RL Excellent communication skills, particularly in teaching complex concepts Creative problem-solving abilities with a "hacker spirit" for solving puzzles   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You want to play a critical role in the development of Liquid Vision-Language modelsFocus on gathering high-quality vision-language midtraining and SFT datasetsRequired Experience:Experience Level: B.S. + 5 years experience or M.S. + 3 years experience or Ph.D. + 1 year of experienceDataset Engineering: Expertise in data curation, cleaning, augmentation, and synthetic data generation techniquesMachine Learning Expertise: Ability to write and debug models in popular ML frameworks, and experience working with LLMs and VLMsSoftware Development: Strong programming skills in Python, with an emphasis on writing clean, maintainable, and scalable codeDesired Experience:M.S. or Ph.D. in Computer Science, Electrical Engineering, Math, or a related fieldExperience fine-tuning or customizing LLMs and VLMs2+ years working in computer visionFirst-author publications in top ML or vision conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV)Contributions to popular open-source projectsWhat You'll Actually Do:Create and maintain data processing, cleaning, filtering, and selection pipeline that can handle image-text dataWatch out for the release of public high quality VLM datasetsCreate and maintain synthetic data augmentation pipeline to enhance VLM data qualityWork with the multimodal vision team to run ablations on new datasetWhat You'll Gain:Hands-on experience with state-of-the-art technology at a leading AI companyA collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMsAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.