AI Software Engineer Jobs

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Introduction to Demandbase:  Demandbase is the Smarter GTM™ company for B2B brands. We help marketing and sales teams overcome the disruptive data and technology fragmentation that inhibits insight and forces them to spam their prospects. We do this by injecting Account Intelligence into every step of the buyer journey, wherever our clients interact with customers, and by helping them orchestrate every action across systems and channels - through advertising, account-based experience, and sales motions. The result? You spot opportunities earlier, engage with them more intelligently, and close deals faster.  As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, New York, Seattle, and teams in the UK and India, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area. We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. About the Role: Demandbase is seeking a motivated and detail-oriented Senior GRC Analyst to support its global Governance, Risk, and Compliance program. Reporting to the Senior Director of GRC, you’ll collaborate cross-functionally to help strengthen our compliance framework, support audits, perform risk assessments, track remediation efforts, and ensure alignment with key standards like ISO 27001, ISO 42001, ISO 27701, and SOC 2.   This role offers the opportunity to work on global compliance initiatives and drive compliance and risk maturity across the business. What you’ll be doing: Execute walkthroughs and tests of operating effectiveness over controls in Demandbase, IT applications, and infrastructure, in support of internal and external security audits. Review and help mitigate internal and external risk. Assist in IT audits and report on findings, track status, and ensure corrective actions are complete, sustainable and documented. Improve our security and privacy culture through promoting education and awareness across the organization. Review and improve the data life cycle (data inventory, governance, retention). Review and edit customer- and public-facing communications about privacy and security programs. Assist in operationalizing Business Continuity, Disaster Recovery, and Incident Response exercises Assist in AI Governance, Third Party Risk, and Security Reviews  What we’re looking for: Demonstrated ability of 5+ years in Information Security, GRC, ERM, compliance, audit, internal controls, AI governance, or other security related areas.  (Experience in cloud-based tech company is preferred) Understanding of general IT and cloud security controls, such as Information Security, Business Continuity, Disaster Recovery, Third Party Risk /Vendor Management, Software Development, Hardware and Software. Familiarity with global industry frameworks like ISO 27001, ISO 27701, SOC 2, ISO 42001, NIST CSF, NIST 800-53, and RMF.  Detail oriented with excellent verbal and written communication skills. Ability to work with both business and technical areas and translate requirements between the two areas to address control deficiencies.  Excellent interpersonal and organizational skills with an ability to coordinate with internal stakeholders and external auditors. Familiarity with managing GRC tools (e.g. Metricstream, Hyperproof, Vanta) and dashboards to monitor compliance posture Ability to adapt in a dynamic environment and manage multiple priorities effectively; Flexibility is essential and startup experience is a plus.  Experience in project management including managing complex projects at an enterprise level Self-motivated and responsible individual who will represent the company with the highest level of integrity and professionalism.    BS or MS in Computer Science, Information Systems, Engineering, or Similar.  Bonus:  Certifications such as CISSP, CRISC, CISA, CIPP are highly desirable, but not required.  Our Commitment to Diversity, Equity, and Inclusion at Demandbase At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis. We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply! Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information. Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information.

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role:Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray’s usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray’s Datasets library and data processing capabilities in general.About the Ray Data team:The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon, and ML pipeline at Alibaba). Ray Datasets is a Python library built on top of Apache Arrow and Ray Core (Ray’s C++ backend), and the Ray Data team interacts closely with Ray Core components including the scheduler and the memory & I/O subsystems. The Ray Data team also works closely with Ray’s ML libraries including Train, RLlib, and Serve.A snapshot of projects you will work on:- Performance of Ray Datasets at large scale (leveraging Arrow primitives, optimizing Ray object manager, etc.)- Integration with ML training and data sources- Stability and stress testing infrastructure- Lead future work integrating streaming workloads into Ray such as Beam on Ray- Differentiate Data operations in Anyscale hosted Ray serviceAs part of this role, you will:Develop high quality open source software to simplify distributed programming (Ray)Identify, implement, and evaluate architectural improvements to Ray core and DatasetsImprove the testing process for Ray to make releases as smooth as possibleCommunicate your work to a broader audience through talks, tutorials, and blog postsWe'd love to hear from you if have:At least 5 years of relevant work experienceSolid background in algorithms, data structures, system designExperience in building scalable and fault-tolerant distributed systemsExperience with data processing, database internals including Spark or Dask (streaming is a plus)Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 6 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.Senior Product Manager – AI ExperiencesRole Description As a Senior Product Manager focused on new AI applications, you will lead the exploration, development and launch of an entirely new product line at MagicSchool. This is a highly entrepreneurial role where you will be responsible for both evaluating opportunities for new AI-powered products, and working cross functionally to build them. This is a “zero to one” role, perfect for a product manager who is comfortable with ambiguity, and is pragmatic in their approach to translate opportunities into high-impact products for educators and students.Responsibilities In this role, you will be responsible for driving towards the following outcomes:Evaluate, define and execute the product vision for a new AI-powered product in education.Operate in a highly ambiguous environment, driving 0→1 innovation by rapidly testing, validating, and scaling new ideas.Represent the voice of educators and students, balancing user needs with business goals in new AI-driven product lines.Partner cross-functionally with engineering, design, marketing, and other stakeholders to bring new initiatives to life.Build strong business cases for investment in AI initiatives, using data and research to prioritize effectively. Experience & Qualifications To be successful in this role, you’ll bring the following experience and qualifications:5+ years of product management experience, with a proven track record in building and scaling 0→1 products with demonstrable user impact.Deep understanding of AI technologies and applications, ideally with direct experience building consumer-facing AI products such as chatbots, agents, workflows, multimodal, multimedia, etc.Comfort navigating ambiguity, with founder/early builder experience strongly preferred.Strong cross-functional collaboration skills; able to communicate persuasively with engineering, design, marketing, legal, and finance.Proficiency in using data (qualitative and quantitative) to inform product decisions and measure success.Excellent execution skills: ability to balance long-term vision with fast iteration in a high-growth environment.Nice to have:Passion for education and prior EdTech experienceStrong experience building and launching AI-powered applications and featuresB2C and SaaS experienceApplication Notice:Notice: Priority Deadline and Review Start DatePlease note that applications for this position will be accepted until 9/14/25 - applications received after this date will be reviewed on an intermittent basis. While we encourage early submissions, all applications received by the priority deadline will receive equal consideration. Thank you for your interest, and we look forward to reviewing your application.Why Join Us?Work on cutting-edge AI technology that directly impacts educators and students.Join a mission-driven team passionate about making education more efficient and equitable.Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.Every employee is offered generous stock options, vested over 4 years.Plus a 401k match & monthly wellness stipendOur Values:Educators are Magic:  Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.Community:  Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.Innovation:  The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.Excellence:  Educators and students deserve the best - and we strive for the highest quality in everything we do.

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About Augment Code Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built. About the Role As a Research Engineer at Augment Code, you’ll sit at the intersection of research and engineering - transforming cutting-edge ideas into production-ready systems that redefine how developers build software. You’ll design models that understand entire codebases, create the infrastructure to support large-scale experiments, and ship innovations that directly power our Context Engine and developer productivity platform. In this role you will: Design and implement ML models and algorithms that advance code understanding, code classification, retrieval, and developer productivity. Own projects end-to-end: from ideation and prototyping to optimization and production deployment. Build and maintain research infrastructure, experimentation frameworks, and data pipelines at scale. Collaborate closely with engineering and product teams to translate research into user-facing impact. Stay up-to-date with the latest developments in machine learning, natural language processing, and software engineering research. You have: Degree in Computer Science, Machine Learning, or related technical field (or equivalent industry experience). Deep experience with LLMs, Retrieval Systems, or Post-Training. Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc). Experience with large-scale data processing, training, and model deployment. Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow). While not required, it’s an added plus if you also have: Contributions to open-source projects or publications in relevant fields. Background in developer tools, IDEs, or software engineering productivity systems. Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range$300,000—$365,000 USD

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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 thrive on building systems from the ground up, not just maintaining themYou understand that good infrastructure is the difference between theoretical and practical MLYou balance pragmatism and ambition—knowing when to push for scale and when to shipYou’re excited by the challenge of turning complex ML capabilities into intuitive productsDesired Experience:Proven track record of architecting and scaling systems from scratchDeep understanding of modern software architecture and best practicesExperience deploying ML-powered systems in real-world production environmentsStrong opinions about engineering practices—backed by hard-earned lessonsAbility to decide when to build vs. when to leverage existing toolsWhat You'll Actually Do:Architect and implement full-stack solutions for both internal platforms and customer-facing productsDesign and scale backend services that enable robust ML model deploymentBuild deployment infrastructure that runs seamlessly across cloud and on-premise environmentsDevelop interfaces that make complex ML systems accessible and usableEstablish workflows that accelerate ML research-to-deployment cyclesCollaborate closely with Product and ML teams to iterate quickly and effectivelyWhat You'll Gain:The chance to architect foundational systems at a true greenfield stageDirect collaboration with exceptional ML researchers and product buildersInfluence over critical technical decisions that will define Liquid’s trajectoryThe opportunity to shape how enterprises deploy efficient AI models at scaleAbout 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.

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About Handshake AIHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Now’s a great time to join Handshake. Here’s why:Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.About the RoleHandshake is expanding into AI research and development, building a world-class network of expert Fellows - PhDs, researchers, and subject matter specialists - who contribute to cutting-edge AI through specialized research, model evaluation, and domain-specific applications. Handshake is looking to bring on a Handshake AI Support Specialist, Contractor to provide payments, contracts, and general support to our Handshake MOVE Fellows. Reporting to the Senior Manager of Handshake AI Support, this role is a 6 month contract with the possibility of contract extension or conversion to a permanent role upon evaluation of fit for the role and company needs. If you are resourceful and attuned to detail, love digging into a complex and technical product, building strong relationships with customers and team members, and solving a wide variety of questions, bugs, and workflow needs - this is the role for you!This is not a typical support job where you’ll exclusively work on tickets; it’s an opportunity to make Handshake AI feel like the premier destination for experts looking to challenge the boundaries of AI. You’ll have opportunities to interact with both Handshake leadership and our expert network directly.You will work closely with our Handshake AI Ops, Finance, Product, Engineering, Projects and Fellow Experience (FEXP) teams to provide efficient and effective support, and contribute to an overall seamless experience for Fellows. You will primarily focus on handling payment questions, disputes, and managing contracts to ensure our Fellows have a smooth experience. You will also assist with general Handshake AI support, help unblock our users, share trends and learnings with the Handshake AI Team, and continue to improve the customer experience and our team operations. As an advocate for our Fellows, you’ll improve the Handshake AI experience and make an impact on our mission to build the infrastructure for the next era of human-AI collaboration.Exceptional team members may have the ability to grow their career into new roles across the Handshake AI Ops team.Contribute 40 hours per week during our business hours, Monday through Friday, and occasional overtime as needed. Provide amazing email, zoom, and/or phone support to Handshake MOVE Fellows via email, internal ticketing systems, and other channels. Your day-to-day will consist of:80%: resolving questions and disputes, removing or updating contracts reporting bugs, sharing feedback, and other general inquiries. You’ll typically handle up to 75-100 tickets per day.10% on priority initiatives or improving business process5%: attending team meetings (1-3 per week)5%: completing administrative tasks (emails, checking daily announcements, training, etc.)Tickets will involve highly technical troubleshooting and workflows, building and troubleshooting custom reports using Big Query, SQL, Google Sheets, and/or Looker, and making sure to provide tailored, personal responses while building relationshipsUse app environments, troubleshooting tools, internal and external documentation, and team communication channels, to find the quality answer for a wide range of usersMaintain a standard level of excellence in regards to response times, resolution times, equal share of queue, and the quality of the customer support experienceBe both a support specialist and an experienced consultant for FellowsUtilize internal tools to manage issues between Operations, Finance, Product, Engineering, Project, and Support teamsAnalyze common issues that Fellows have and coordinate with our Product and Ops teams to ideate and implement solutionsDesired Capabilities1 - 3 years of support, Sales Development Representative or similar experienceBI tools: Experience with or strong aptitude to quickly learn Big Query, SQL, Google Sheets advanced formulas and analysis, and Looker to pull payment and project data and compare with our tracking systemsSelf-Starter: Excited to approach new challenges and have a high bar for personal excellenceTechnical Aptitude: Ability to learn technical tools and concepts quicklyResilience: Comfort with change and ambiguity. We’re a growing startup and always refining processes, tools, etc!Teamwork: Connects with teammates and actively builds a sense of community on the Handshake AI and Support teams. Collaborates with manager and colleagues and team on daily or weekly guidance on ticket workflows and prioritization.Communication: Excellent verbal and written communication skills with a clear ability to communicate complex topics with simple language.Results oriented and ownership: Ability to maintain or exceed ticket and quality goals. High level of self accountability and integrity for processes and metrics.Passion for the problem: Desire to help give people the chance to build the career they want, no matter where they're from or what school they attendEQ: A strong sense of empathy with users of our products and cross functional partnersCritical Thinking: High attention to detail and ability to troubleshoot with limited information and a clear plan of action.Expertise and Curiosity: Retains knowledge, shows ability to partially solve issues independently, and asks questions to increase personal knowledge. Isn’t afraid to do independent research on third party tools and systems to find answers.Growth Mindset: Positive, eager to learn, utilizes resources, takes and gives feedback, connects with support team and key cross team stakeholders.Diversity and Inclusion: Eagerness to contribute to and help build a diverse and inclusive team and exhibit these values internally and externally with customers or users.Coverage: Can provide a regular schedule to provide consistent assistance to users. Based in the U.S. and is not a current student.Extra CreditBig Query, SQL, Google Sheets/Excel, Deel, and/or Hubstaff experienceZenDesk experienceAI/LLM usage and training ExperienceProgramming, IT, data analysis or computer science courses, major or certificationsFinTech customer service experiencePrevious experience working in an Enterprise SaaS Customer Support team at a fast-paced startup or hypergrowth tech company, or customer focused position involving technical knowledge of a company's products and servicesRelevant experience in cross - functional communication or close partnerships with various teams (Success, Sales, Product etc)Location & Work ExpectationsNo visa sponsorship available#LI-AG3

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM Anduril’s Research Scientists excel at developing state-of-the-art algorithms and software that solve scientific problems with real-world applications. Working in small, innovative teams, our research scientists create impactful solutions that make a difference. Our research endeavors don’t end once we’ve published papers; our work is complete when our technology is deployed in mission-critical systems, ensuring success for our customers in government and industry.  Join us in our mission to expand the boundaries of what’s possible! WHAT YOU WILL DO Drive rapid prototyping initiatives for advanced R&D projects, focusing on specialized algorithm development in the context of radar systems, video sensors, space-based sensing, and Command and Control (C2) systems. Utilize high-fidelity modeling and simulation tools to assess and quantify the impact of innovative technologies on system performance. Collaborate with cross-disciplinary teams to ensure seamless integration of software and hardware, optimizing system functionalities for radar systems. Implement rigorous software quality assurance processes, using various testing methodologies to ensure reliability and efficiency of developed solutions. Engage with stakeholders to align R&D outcomes with mission-critical objectives, ensuring optimal performance and operational success. Mentor junior team members, fostering a culture of innovation and continuous improvement within the team. REQUIRED QUALIFICATIONS An M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Physics, Statistics and Probability, or a related field. 2+ years of professional experience in embedded software/firmware engineering. Strong foundation in applied mathematics, including probability theory, optimization theory, linear algebra, and numerical analysis. Familiarity with functional programming languages (e.g., C/C++, Julia, Rust, Python, CUDA). Demonstrated experience in scientific computing, including algorithm implementation, optimization methods/theory, probabilistic/stochastic models, graphical models. Knowledge of digital signal processing (DSP) and image processing, as well as controls and estimation theory. Excellent written and verbal communication skills to convey complex technical concepts to diverse audiences. Adept at problem identification and principled approaches to problem formulation and solution. Effective data analysis, deep-diving, trouble-shooting. Open-minded, creative, imaginative. Agile learner. Enthusiastic collaboration, energized by driving team success. Ability to obtain and maintain a U.S. TS/SCI security clearance. PREFERRED QUALIFICATIONS Experience with either radar signal processing or image processing. Experience in GPU programming (CUDA programming) and rapid prototyping.     We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.US Salary Range$117,300—$175,950 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

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About Anyscale:At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.About the role:The ML Developer Experience team is responsible for creating the suite of tools and services that enable users to create production quality applications using Ray. The product is the user’s primary interface into the world of Anyscale and by building a polished, stable, and well-designed product, we are able to enable a magical developer experience for our users. This team provides the interface for administering Anyscale components including Anyscale workspaces, production and development tools, ML Ops tools and integrations, and more. Beyond the user-facing features, engineers help build out critical pieces of infrastructure and architecture needed to power our platform at scale.With a taste for good products, a willingness to work with and understand the user base, and technical talent to build high quality software, the engineers can help build a delightful experience for our users from new developers learning to use Ray to businesses powering their products on Anyscale.A snapshot of projects you can work on:Full stack work on Anyscale workspaces, debugging and dependency management on AnyscaleDevelopment of new ML Ops tooling and capabilities, like dataset management, experiment and lineage tracking, etc.Lead the development of the Anyscale SDK, authentication, etc.We’d Love to hear from you if you have:A solid background in algorithms, data structures, and system design.Experience working with modern machine learning tooling, including PyTorch, MLFlow, data catalogs, etc.At least 5+ year of relevant work experienceAs part of this role you will:Develop a next-gen ML Ops platform and development tooling centered around RayBuild tools and frameworks for managing the AI development lifecycle from data preparation to training to production servingBonus points if you have:Experience in building and maintaining open-source projects.Experience in building and operating machine learning infrastructure in production.Experience in building highly available serving systems.Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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Who We Are At PathAI, we’re building an AI-powered platform for pathology to advance the diagnosis and treatment of disease and to improve the lives of patients. We’re applying our work to drug development, clinical diagnosis, and global health. What You’ll Do The day-to-day responsibilities for the Director of Translational Research, Oncology at PathAI include: Oversee execution of multiple translational research projects/contracts with key clients to meet company goals and strengthen partner relationships Oversee execution of multiple programs to drive company-wide scientific and business strategy Develop client relationships and pursue new opportunities to drive business growth Responsible for professional development of team of program / project managers / support staff Responsible for hiring and training activities Collaborate and liaise across internal stakeholders including the business development, product, and machine learning teams, providing hypotheses for novel biological insights and strategy roadmaps for project completion. What You Bring Advanced degree in life sciences or biomedical engineering-related disciplines required, PhD preferred. At least 5 years work experience Experience building, leading and managing teams. Strong user of technology with a solid basis in quantitative analysis and data-driven decision making Intellectual curiosity and the ability to learn quickly in a complex space Excellent communication skills Publications of research in related fields  We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.    #LI-Remote   

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role Join Cerebras as a Performance Engineer within our innovative Runtime Team. Our groundbreaking CS-3system, hosted by a distributed set of modern and powerful x86 machines, has set new benchmarks in high-performance ML training and inference solutions. It leverages a dinner-plate sized chip with 44GB of on-chip memory to surpass traditional hardware capabilities. This role will challenge and expand your expertise in optimizing AI applications and managing computational workloads primarily on the x86 architecture that run our Runtime driver.   Responsibilities Focus on CPU and memory subsystem optimizations for our Runtime software driver, enabling faster key cloud and ML training/inference workloads across modern x86 machines that form the backbone of our AI accelerator. Develop and enhance algorithms for efficient data movement, local data processing, job submission, and synchronization between various software and hardware components. Optimize our workloads using advanced CPU features like AVX instructions, prefetch mechanisms, and cache optimization techniques. Perform performance profiling and characterization using tools such as AMD uprof, and reduce OS level overheads. Influence the design of Cerebras' next-generation AI architectures and software stack by analyzing the integration of advanced CPU features and their impact on system performance and computational efficiency. Engage directly with the AI and ML developer community to understand their needs and solve contemporary challenges with innovative solutions. Collaborate with multiple teams within Cerebras, including architecture, research, and product management, to elevate our computational platform and influence future designs. Skills & Qualifications BS, MS, or PhD in Computer Science, Computer Engineering, or a related field. 5+ years of relevant experience in performance engineering, particularly in optimizing algorithms and software design. Strong proficiency in C/C++ and familiarity with Python or other scripting languages. Demonstrated experience with memory subsystem optimizations and system-level performance tuning. Experience with distributed systems is highly desirable, as it is crucial to optimizing the performance of our Runtime software across multiple x86 hosts. Familiarity with compiler technologies (e.g., LLVM, MLIR) and with PyTorch and other ML frameworks. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role We are seeking an experienced QA Tech Lead – Web Consoles to join the Cerebras AI Inference Service organization. The individual needs to technically lead a team, facilitate adaptations of new methodology and proven experiences into the role, is capable of hands-on work whenever needed, and has excellent teamwork and problem-solving abilities. The ideal candidate is a leader who can drive growth, quality and ownership to thrive in a rapidly changing environment. Responsibilities Lead functional testing of all customer‑facing components, coordinating closely with development and automation teams. Participate in architectural and test‑strategy discussions to identify and close quality gaps. Perform UI/UX and web‑application testing across browsers, devices, and environments. Develop and maintain automation frameworks (Python/pytest) and front‑end/back‑end test suites using Playwright, Cypress etc. Create comprehensive test strategies aligned with product goals, technical architecture, and customer experience. Establish standards for test planning, execution, and documentation; mentor QA engineers and champion best practices. Build tooling and CI/CD integrations (GitHub Actions, Jenkins, CircleCI) to enable faster feedback cycles and scalable test coverage. Lead cross‑functional collaboration with engineers, product managers, UX, and design to embed quality from ideation through release. Define and drive key quality metrics; triage defect patterns and deliver actionable insights through dashboards and reports. Proactively identify future testing needs across cloud, edge, and device interfaces and shape the long‑term QA roadmap. Collaborate with SWEs and QAEs across US, Canada, and India to establish clear and testable requirements and acceptance criteria. Skills And Qualifications Proven track record of leading from the front, defining quality metrics, driving dashboards/reports, and influencing product quality decisions. Passion for user experience, accessibility, and long‑term product health. Excellent communication skills emphasizing collaboration, documentation, and continuous improvement. 5+ years of experience building QA systems for cloud-based SaaS and/or API services, preferably of AI systems. Ability to build and maintain test tooling and infrastructure that supports continuous integration and scalable coverage. Experience mentoring junior QA engineers and establishing best‑practice test processes across teams. Proficiency with Python automation frameworks (pytest) and modern web‑test tools (Playwright, Cypress). Hands‑on experience with cloud‑based infrastructure and CI/CD pipelines (GitHub Actions, Jenkins, CircleCI). Location This role follows a hybrid schedule, requiring in-office presence 3 days per week. Please note, fully remote is not an option. Office locations: Toronto Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ's System Software team enables on-device experiences to take full advantage of our hardware capabilities. We collaborate with internal and external partners in a high-leverage environment that enables us to spend a majority of our time developing solutions that are unique to our hardware, sensors, algorithms, and interaction models. If you enjoy solving complex, interdisciplinary problems with a world-class team, we'd love to hear from you! 2026 Internship Program Dates: May/June-August/September 2026. Final dates based on student schedule. What You Might Do Learn what it's like to be a part of a world-class embedded software team building a first-of-its-kind product in a startup environment Develop low-level driver and framework software in C and C++ Build automation tools (maybe even a robot) to test our hardware platform in repeatable ways Debug issues at the interface between hardware and software Optimize software for better performance and lower power consumption Collaborate in the software engineering process with documentation, testing, and code review Work on wireless software development, for specific device applications and use-cases Essential Qualifications  Pursuing a Bachelor’s or Master's in Computer Engineering, Computer Science, Electrical Engineering, or similar field Experience in at least one of the following programming languages: C++, C, or Python At least one prior course project, internship, or research project that demonstrates your programming skills Preferred Skills Familiarity with modern C++ Experience with Android development, especially native apps or AOSP Experience with Linux Kernel driver development Experience porting reference algorithms to hardware accelerators (GPU, DSP, etc) Familiarity with ARM System-on-Chip (SOC) architecture Experience developing bare-metal firmware for microcontrollers Ability to use common lab equipment (eg, logic analyzers) to debug low-level SW issues Salary range: $45 - $48/per hour  Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs the Clinical Success Director - Strategic Accounts, you will be at the forefront of delivering an exceptional generative AI platform for clinicians. Your work will directly contribute to improving the cognitive burden associated with clinical documentation. You will collaborate with clients, partners, product managers, designers, machine learners, and healthcare professionals to bring to life products that bridge the gap between clinical conversations and actionable data. What You’ll Do Provide clinician enablement by delivering education and training to new users, building collateral and strategies to support clinician adoption, and managing relationships with external clinical champions and advisors.Surface product feedback through expert advice on existing clinical documentation strategies and work with product teams to define a clear clinical product roadmap.Provide product strategy recommendations by aggregating user feedback and developing artifacts that articulate how product enhancements may expand the reach of our product(s) and improve clinician user experiences.Develop, monitor, and track end-user utilization and clinical success metrics to help communicate long-term impact and value.Evangelize product capabilities and direction to prospective customers by creating sales collateral, conducting product demos, and more.What You’ll Bring 5+ years of experience as a clinician (MD, DO, PA, NP)Experience with Epic and a deep understanding of clinical documentation workflowsA passion for solving problems and creating new opportunities for cliniciansProven track record of leading successful initiatives from conception through launch. Ability to build relationships with different layers of an organization, from front-line staff to executives.Strong understanding of the healthcare industry, specifically clinical workflows and regulatory requirementsExperience working with cross-functional teams in a fast-paced, startup environment***This role requires up to 20% travel******This role must be based in the Eastern Time Zone***Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or PhD in Civil Engineering. You have a 3 years of professional experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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Are you excited about the limitless possibilities of artificial intelligence and machine learning? Do you want to make these possibilities into realities for real people? If so, we have an extraordinary opportunity to join our startup as an AI Support Engineer.Cognition and Windsurf give AI-powered tools to development teams at thousands of enterprises, from startups to Fortune 500 companies. Due to the complexity of enterprise tasks and environments, combined with the rapid evolution of the product itself, customer issues may come up that would reduce adoption and value driven if not addressed rapidly. You will be the first line of responding and resolving these customer issues, leveraging your computer science and AI knowledge to help customers effectively. Your role will be instrumental in driving adoption of AI technology.This is a unique opportunity to work at an AI startup with real users.Key Responsibilities:First line of response to any customer issues: Customer issues could stem from misuse of the software, errors in the deployment, or bugs in the underlying software. Support engineers are required to use their AI and CS knowledge to root cause, reproduce, and respond to any type of issue. Support engineers will help define processes and build automations to streamline our support function.Escalation, resolution, and education: If a support engineer is unable to resolve a customer issue, they are responsible for escalating the issue to the appropriate Cognition/Windsurf stakeholders (deployed engineering, field IT, or enterprise engineering), tracking and understanding the resolution of the issue, and educating the customer on the solution.Knowledge documentation and distribution: Support engineers are responsible for documenting learnings about failure modalities across use and deployment and distributing that knowledge to end customers and internal engineering teams.Product testing and feedback: Cognition and Windsurf’s products work across a range of IDEs, programming languages, and modalities. Support engineers will be instrumental in testing each release. Support engineers will also use their CS and AI skills to automate parts of the QA process.Qualifications:2+ years working in a technical roleBachelor's or higher degree in Computer Science, Software Engineering, or related field.Knowledge of distributed computing, containerization, and orchestration technologies (e.g., Docker, Kubernetes).Proficiency in programming languages such as Python, Java, or GoStrong organizational skills and customer friendliness.Strong problem-solving skills and the ability to work in a fast-paced, dynamic startup environment.Passion for artificial intelligence and large language models. Hands-on experience with these technologies is not required, but is a plus.

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About HappyrobotHappyRobot is a platform to build and deploy AI workers that automate communication. See a demoOur AI workers connect to any system or data source to handle phone calls, email, messages…We target the logistics industry which relies heavily on communication to book, check on, & pay for freight. Primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, & other supply chain enterprises and tech startups.We’re thrilled to share that with our $44M Series B, HappyRobot has now raised a total of $62M — backed by leading investors who believe in our mission and vision for the future.We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great—ready to embrace the challenge, push limits, and thrive in a fast-paced, high-intensity environment.About the RoleBuild foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.Build and maintain robust data pipelines and models to ensure data quality.Partner with Product, Engineering, and Design teams to inform decisions.Translate complex data into clear, actionable insights for product teams.Love working with data. Love making product better. Love finding the story behind the numbers.ResponsibilitiesDefine, build, and maintain product metrics, dashboards, and pipelines.Write SQL and Python code to extract, transform, and analyze data.Design and run experiments (A/B tests) to support product development.Proactively explore data to identify product opportunities and insights.Collaborate with cross-functional teams to ensure data-driven decisions.Ensure data quality, reliability, and documentation across analytics efforts.Must Have3+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).Advanced analytics experience: segmentation and cohort analysis.Proficiency in Python for data analysis and modeling.Excellent communication skills: able to explain complex data insights clearly.Curious, collaborative, and driven to make an impact in a fast-paced environment.Nice to HaveExperience in B2B SaaS or AI/ML products.Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).Exposure to machine learning concepts or AI-powered systems.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Fast Growth - Backed by a16z and YC, on track for double-digit ARR.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Comprehensive Benefits - Healthcare, dental, vision coverage.Work With the Best - Join a world-class team of engineers and builders.Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.  Position Overview You will have the unique opportunity to work with our cutting-edge robots and help shape the future of their capabilities. Data collection is a critical component of building robotic intelligence, and we're looking for operators who have a high degree of attention to detail, ability to learn and follow instructions for new setups and tasks quickly, and a problem-solving attitude. Responsibilities Operate robotic systems for assigned tasks (e.g., packing, insertion, assembly, etc.). Follow established procedures for teleoperation and data collection. Maintain efficiency, safety, and instructional accuracy in robotic operations. Collaborate with supervisors and team leads to optimize workflow. Adhere to company policies regarding workplace conduct and performance standards. Preferred Qualifications Physical ability to remain seated for extended periods and perform repetitive tasks Ability to communicate and follow instructions Baseline technical literacy Other Details This role requires you to be available for a minimum of 3 8-hour shifts per week. You will be expected to meet a bar of performance on both the quality and quantity of the data you collect.   

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Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs a Clinical Intelligence Associate at Tandem, you will help define the clinical standards that guide how we scale our platform. You’ll translate your experience into structured frameworks that inform everything from how medical records are interpreted to how treatment decisions are supported — improving the accuracy, speed, and consistency of patient access workflows across the board.This is a high-context, cross-functional role that blends clinical expertise with systems thinking. You will work closely with our product, engineering, and AI teams to define decision logic, surface edge cases, and help us build reliable, clinically sound tools. Your work will shape the foundation of how Tandem supports providers and patients at scale — and help ensure our platform reflects the best of both medicine and technology.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Tandem's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.If you join, you will:Translate clinical expertise into scalable logic, workflows, and quality standards used across Tandem’s platformCurate and audit datasets to maintain high-quality, representative training and testing materialEvaluate and refine system performance to ensure clinical accuracy and reliability, using your expertise to analyze feedback and resolve issues with AI and agent outputsCollaborate cross-functionally to ensure platform behavior reflects real-world clinical reasoning and standardsExpand knowledge across medical specialties to inform the development of AI solutions tailored to diverse clinical needsInform the development of new products, services, and specialty-specific modulesWe’ll be most excited if you have:2–8 years as a board certified Nurse Practitioner (NP), Physician Assistant (PA), or similar advanced clinical role, directly providing patient care and clinical decision-makingExperience as part of an interdisciplinary team in outpatient or specialty settings, particularly in contexts involving medication prior authorizations and ensuring patient access to therapyStrong written communication, with an ability to translate clinical complexity into context and logic that can be understood by non-clinical teamsComfort and/or a strong interest in collaborating with product, engineering, and data science teammates on building new technologiesHigh NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for AI Prompt Engineers to help us reach $XXM ARR in the next 9 months. As a founding Prompt Engineer at Magical, you will play a critical role in bridging the gap between our cutting-edge AI automation platform and our customers’ needs. You’ll work directly with customers, helping them deploy, integrate, and optimize Magical’s solutions to drive business value. This role requires a blend of technical knowledge, problem-solving, customer engagement, and product customization to ensure the customer’s seamless adoption, success, and expansion over time.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.What You’ll DoBuild custom workflow configurations via AI prompting and internal tools to extend Magical’s capabilities for specific customer use cases.Provide technical guidance and best practices to customers, ensuring smooth onboarding and adoption.Build relationships with customers to understand their workflow challenges and design tailored AI-powered automation solutions using Magical’s platform.Deploy, configure, and integrate Magical’s automation technology with customer environments, including CRMs, EHRs and loan origination systems.Act as the technical liaison between customers and Magical’s product and engineering teams, capturing feedback and driving improvements.Troubleshoot and resolve technical issues related to deployments, integrations, and performance optimization.Be a vocal member, helping the engineering team build internal tools and documentation to streamline future customer implementations.Identify opportunities for customers to expand their use of Magical’s platform, upselling additional solutions and driving account growth.Who You Are3+ years of experience in engineering, solutions engineering, QA engineering, or similar technical backgroundDeep AI prompting proficiencyA top project manager. You can wrangle something fuzzy into a project plan and you’ll do whatever is needed to make it happenFamiliarity with business process automation, workflow optimization, or AI-driven solutions is a plusAbility to manage multiple projects, engage with senior stakeholders, and communicate technical concepts in a clear and structured manner.Willingness and ability to travel to customer sites as required for setup and implementation.A self-starter with a strong ability to adapt, learn quickly, and thrive in a fast-paced, startup environment.Who We AreAt Magical, we empower organizations to automate the complex, manual workflows that are essential to their operations. These workflows are the backbone of industries that keep the world running, yet many organizations remain burdened by resource constraints and outdated manual processes, hindering their efficiency and innovation.Magical leverages AI and a purpose-built workflow automation platform to seamlessly transform long-form, multi-system workflows into fully autonomous processes. We enable teams to scale operations, reduce costs, and focus on what matters most.Backed by leading investors, including Coatue, Greylock, Lightspeed and Bain Capital Ventures, Magical is reimagining the future of work by equipping teams with the tools to unlock hidden inefficiencies, automate with precision and achieve unprecedented operational scale.

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for AI Prompt Engineers to help us reach $XXM ARR in the next 9 months. As a founding Prompt Engineer at Magical, you will play a critical role in bridging the gap between our cutting-edge AI automation platform and our customers’ needs. You’ll work directly with customers, helping them deploy, integrate, and optimize Magical’s solutions to drive business value. This role requires a blend of technical knowledge, problem-solving, customer engagement, and product customization to ensure the customer’s seamless adoption, success, and expansion over time.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.What You’ll DoBuild custom workflow configurations via AI prompting and internal tools to extend Magical’s capabilities for specific customer use cases.Provide technical guidance and best practices to customers, ensuring smooth onboarding and adoption.Build relationships with customers to understand their workflow challenges and design tailored AI-powered automation solutions using Magical’s platform.Deploy, configure, and integrate Magical’s automation technology with customer environments, including CRMs, EHRs and loan origination systems.Act as the technical liaison between customers and Magical’s product and engineering teams, capturing feedback and driving improvements.Troubleshoot and resolve technical issues related to deployments, integrations, and performance optimization.Be a vocal member, helping the engineering team build internal tools and documentation to streamline future customer implementations.Identify opportunities for customers to expand their use of Magical’s platform, upselling additional solutions and driving account growth.Who You Are3+ years of experience in engineering, solutions engineering, QA engineering, or similar technical backgroundDeep AI prompting proficiencyA top project manager. You can wrangle something fuzzy into a project plan and you’ll do whatever is needed to make it happenFamiliarity with business process automation, workflow optimization, or AI-driven solutions is a plusAbility to manage multiple projects, engage with senior stakeholders, and communicate technical concepts in a clear and structured manner.Willingness and ability to travel to customer sites as required for setup and implementation.A self-starter with a strong ability to adapt, learn quickly, and thrive in a fast-paced, startup environment.Who We AreAt Magical, we empower organizations to automate the complex, manual workflows that are essential to their operations. These workflows are the backbone of industries that keep the world running, yet many organizations remain burdened by resource constraints and outdated manual processes, hindering their efficiency and innovation.Magical leverages AI and a purpose-built workflow automation platform to seamlessly transform long-form, multi-system workflows into fully autonomous processes. We enable teams to scale operations, reduce costs, and focus on what matters most.Backed by leading investors, including Coatue, Greylock, Lightspeed and Bain Capital Ventures, Magical is reimagining the future of work by equipping teams with the tools to unlock hidden inefficiencies, automate with precision and achieve unprecedented operational scale.