AI Software Engineer Jobs

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At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps.Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction.We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs) and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here.We're looking for a Principal Product Manager to shape the future of autonomous customer service at the intersection of AI research and enterprise product development. You'll take ownership of large, ambiguous, and unexplored problems—defining Replicant's long-term product and AI strategy while driving execution across multiple teams. This is a role for someone who can think at the frontier of what's possible with LLMs, translate that into products that deliver measurable enterprise value, and inspire teams to build what hasn't been built before.What You'll DoDefine and drive multi-team product and AI strategy that shapes Replicant's vision for the next generation of AI customer service. Own problems at the product and company strategy level, balancing long-term technical bets with iterative delivery.Stay at the frontier of AI capabilities—deeply understand the evolving landscape of large language models, voice AI, evaluation frameworks, and agentic architectures. Determine where Replicant should build, partner, or integrate to maintain a technical and strategic edge.Lead cross-functional initiatives with measurable business and customer impact. Own roadmaps from conception through execution and iteration, working across AI/ML, engineering, design, and go-to-market teams.Drive customer and market research in uncharted areas. Regularly engage with customers, prospects, and industry leaders (2-3+ interactions per week) to gather signal on complex, multi-team problems. Share insights that shape product strategy across the organization.Establish and own company-wide product metrics—including accuracy, containment, task success rates, latency, CSAT, and cost efficiency—and use them to guide decisions at the strategic level.Communicate and inspire across all audiences—from engineering teams to executives, board, and customers. Tell stories that align the company and close enterprise deals. Regularly represent EPD and Replicant externally.Coach and elevate the product team. Lead through example, provide regular feedback, and make everyone around you a better PM. Drive hiring for senior and executive positions, closing top candidates.What You'll Bring8+ years of product management experience, with significant time spent on AI/ML products, voice AI, conversational AI, or technically complex enterprise platforms.Deep technical fluency in AI/ML—you understand how LLMs work, can reason about model capabilities and limitations, and have an informed opinion on architecture decisions and their long-term roadmap implications. Experience with prompt engineering, RAG, fine-tuning, or AI agent development is a strong plus.Track record of owning large, ambiguous, complex problems and driving them to successful outcomes across multiple teams. You bring clarity to chaos and create alignment where none exists.Demonstrable success building AI-powered products that shipped to production and delivered measurable customer value. You've seen what works and what doesn't when translating AI capabilities into enterprise-grade products.Exceptional communication and storytelling skills—you can explain complex AI concepts to any audience, facilitate large groups, and craft narratives that inspire customers, teams, and executives.Strong quantitative skills—comfortable using complex data analysis to make decisions, publishing results and dashboards, and leading creation of metrics that measure company-wide strategy.Experience working directly with customers to understand requirements, present product vision, and serve as a strategic advisor. You've influenced enterprise deals and shaped products based on deep customer insight.Comfort operating at the frontier—you thrive in fast-paced, evolving environments where the technology itself is changing rapidly. You adapt as customer needs, AI capabilities, and priorities shift.Nice to HaveExperience with voice AI, speech recognition, or real-time conversational systemsBackground in contact center technology, customer service platforms, or B2B SaaSCoding proficiency sufficient to build prototypes, review technical designs, or engage deeply with engineering trade-offsMBA or equivalent business experienceFor all full-time employees, we offer:🌴 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal🖥️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them📍 Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar🏋️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being💸 Compensation that matches your impact: competitive salaries in the company you’re helping to build📈 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI companyOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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About the Team The Knowledge Innovation team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We’re looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. In this role, you will:Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systemsIntegrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.Collaborate closely with product, research, and engineering teams to integrate OpenAI models into high-leverage workflowsOwn the full development lifecycle of new backend systems and internal platform capabilitiesBuild with scale and maintainability in mind, while rapidly iterating on new ideas You might be a great fit if you have:4+ years of backend engineering experience at product-driven companies (excluding internships)Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and PostgresExperience designing and scaling distributed systems, APIs, or data processing pipelinesA pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term visionAn interest in structured knowledge representation, internal search, agent infrastructure, or systems that evolve over time Curiosity about AI/ML and excitement to work alongside world-class research and product teams (hands-on experience is a bonus, not a must)About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications.   How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.   Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).    Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems Experience in LfD (Learning from Demonstrations), kinesthetic learning Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context Experience deploying machine learning models on edge compute hardwar​e  At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI. What we doThe Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. Who we're looking for:We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate. Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?This is a flexible, project-based opportunity well-suited for:Analysts, researchers, or consultants with strong critical thinking skills.Students (senior undergrads / grad students) looking for an intellectually interesting gig.People open to a part-time and non-permanent opportunity. About the project:We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.What you’ll be doing:Reviewing evaluation tasks and scenarios for logic, completeness, and realism.Identifying inconsistencies, missing assumptions, or unclear decision points.Helping define clear expected behaviors (gold standards) for AI agents.Annotating cause-effect relationships, reasoning paths, and plausible alternatives.Thinking through complex systems and policies as a human would to ensure agents are tested properly.Working closely with QA, writers, or developers to suggest refinements or edge case coverage.How to get started:Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.RequirementsExcellent analytical thinking: Can reason about complex systems, scenarios, and logical implications.Strong attention to detail: Can spot contradictions, ambiguities, and vague requirements.Familiarity with structured data formats: Can read, not necessarily write JSON/YAML.Ability to assess scenarios holistically: What's missing, what’s unrealistic, what might break?Good communication and clear writing (in English) to document your findings. We also value applicants who have:Experience with policy evaluation, logic puzzles, case studies, or structured scenario design.Background in consulting, academia, olympiads (e.g. logic/math/informatics), or research.Exposure to LLMs, prompt engineering, or AI-generated content.Familiarity with QA or test-case thinking (edge cases, failure modes, “what could go wrong”).Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.).BenefitsGet paid for your expertise, with rates that can go up to $80/hour depending on your skills, experience, and project needs.Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments.Participate in an advanced AI project and gain valuable experience to enhance your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI. What we doThe Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. Who we're looking for:We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate. Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?This is a flexible, project-based opportunity well-suited for:Analysts, researchers, or consultants with strong critical thinking skills.Students (senior undergrads / grad students) looking for an intellectually interesting gig.People open to a part-time and non-permanent opportunity. About the project:We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.What you’ll be doing:Reviewing evaluation tasks and scenarios for logic, completeness, and realism.Identifying inconsistencies, missing assumptions, or unclear decision points.Helping define clear expected behaviors (gold standards) for AI agents.Annotating cause-effect relationships, reasoning paths, and plausible alternatives.Thinking through complex systems and policies as a human would to ensure agents are tested properly.Working closely with QA, writers, or developers to suggest refinements or edge case coverage.How to get started:Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.RequirementsExcellent analytical thinking: Can reason about complex systems, scenarios, and logical implications.Strong attention to detail: Can spot contradictions, ambiguities, and vague requirements.Familiarity with structured data formats: Can read, not necessarily write JSON/YAML.Ability to assess scenarios holistically: What's missing, what’s unrealistic, what might break?Good communication and clear writing (in English) to document your findings. We also value applicants who have:Experience with policy evaluation, logic puzzles, case studies, or structured scenario design.Background in consulting, academia, olympiads (e.g. logic/math/informatics), or research.Exposure to LLMs, prompt engineering, or AI-generated content.Familiarity with QA or test-case thinking (edge cases, failure modes, “what could go wrong”).Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.).BenefitsGet paid for your expertise, with rates that can go up to $80/hour depending on your skills, experience, and project needs.Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments.Participate in an advanced AI project and gain valuable experience to enhance your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI. What we doThe Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. Who we're looking for:We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate. Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?This is a flexible, project-based opportunity well-suited for:Analysts, researchers, or consultants with strong critical thinking skills.Students (senior undergrads / grad students) looking for an intellectually interesting gig.People open to a part-time and non-permanent opportunity. About the project:We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.What you’ll be doing:Reviewing evaluation tasks and scenarios for logic, completeness, and realism.Identifying inconsistencies, missing assumptions, or unclear decision points.Helping define clear expected behaviors (gold standards) for AI agents.Annotating cause-effect relationships, reasoning paths, and plausible alternatives.Thinking through complex systems and policies as a human would to ensure agents are tested properly.Working closely with QA, writers, or developers to suggest refinements or edge case coverage.How to get started:Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.RequirementsExcellent analytical thinking: Can reason about complex systems, scenarios, and logical implications.Strong attention to detail: Can spot contradictions, ambiguities, and vague requirements.Familiarity with structured data formats: Can read, not necessarily write JSON/YAML.Ability to assess scenarios holistically: What's missing, what’s unrealistic, what might break?Good communication and clear writing (in English) to document your findings. We also value applicants who have:Experience with policy evaluation, logic puzzles, case studies, or structured scenario design.Background in consulting, academia, olympiads (e.g. logic/math/informatics), or research.Exposure to LLMs, prompt engineering, or AI-generated content.Familiarity with QA or test-case thinking (edge cases, failure modes, “what could go wrong”).Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.).BenefitsGet paid for your expertise, with rates that can go up to $50 hour depending on your skills, experience, and project needs.Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments.Participate in an advanced AI project and gain valuable experience to enhance your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI. What we doThe Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. Who we're looking for:We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate. Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?This is a flexible, project-based opportunity well-suited for:Analysts, researchers, or consultants with strong critical thinking skills.Students (senior undergrads / grad students) looking for an intellectually interesting gig.People open to a part-time and non-permanent opportunity. About the project:We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.What you’ll be doing:Reviewing evaluation tasks and scenarios for logic, completeness, and realism.Identifying inconsistencies, missing assumptions, or unclear decision points.Helping define clear expected behaviors (gold standards) for AI agents.Annotating cause-effect relationships, reasoning paths, and plausible alternatives.Thinking through complex systems and policies as a human would to ensure agents are tested properly.Working closely with QA, writers, or developers to suggest refinements or edge case coverage.How to get started:Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.RequirementsExcellent analytical thinking: Can reason about complex systems, scenarios, and logical implications.Strong attention to detail: Can spot contradictions, ambiguities, and vague requirements.Familiarity with structured data formats: Can read, not necessarily write JSON/YAML.Ability to assess scenarios holistically: What's missing, what’s unrealistic, what might break?Good communication and clear writing (in English) to document your findings. We also value applicants who have:Experience with policy evaluation, logic puzzles, case studies, or structured scenario design.Background in consulting, academia, olympiads (e.g. logic/math/informatics), or research.Exposure to LLMs, prompt engineering, or AI-generated content.Familiarity with QA or test-case thinking (edge cases, failure modes, “what could go wrong”).Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.).BenefitsGet paid for your expertise, with rates that can go up to $45 hour depending on your skills, experience, and project needs.Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments.Participate in an advanced AI project and gain valuable experience to enhance your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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About the Role As an AI Researcher, you will be pushing the frontier of foundation model research and make them a reality in products. You will be working on developing novel architectures, system optimizations, optimization algorithms, and data-centric optimizations, that go beyond state-of-the-arts. As a team, we have been pushing on all these fronts (e.g., Hyena, FlashAttention, FlexGen, and RedPajama). You will also work closely together with the machine learning systems, NLP/CV, and engineering teams for inspiration of research problems and to jointly work on solutions to practical challenges. You will also interact with customers to help them in their journey of training, using, and improving their AI applications using open models. Your research skills will be vital in staying up-to-date with the latest advancements in machine learning, ensuring that we stay at the cutting edge of open model innovations. Requirements Strong background in Machine Learning Experience in building state-of-the-art models at large scale Experience in developing algorithms in areas such as optimization, model architecture, and data-centric optimizations Passion in contributing to the open model ecosystem and pushing the frontier of open models Excellent problem-solving and analytical skills Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Responsibilities Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations, that significantly improve over state-of-the-art Take advantage of the computational infrastructure of Together to create the best open models in their class Understand and improve the full lifecycle of building open models; release and publish your insights (blogs, academic papers etc.) Collaborate with cross-functional teams to deploy your models and make them available to a wider community and customer base Stay up-to-date with the latest advancements in machine learning About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy    

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About Nooks.ai:Nooks is the AI Sales Assistant Platform (ASAP) that automates the busywork so reps can focus on the human part of selling and generate more sales pipeline. Nooks has helped thousands of sales reps hit quota, saved customers hundreds of thousands of hours, and powered hundreds of millions of dollars in pipeline. Nooks is loved by sales teams at companies like Hubspot, Rippling, and Toast, and hundreds more. For more information, visit Nooks.ai http://Nooks.ai.About the Role: We are looking for a Senior Engineer to join our engineering team. In this role, you will work at the forefront of LLMs and AI agents to transform the way enterprises do outbound sales and generate pipeline. You will have the opportunity to help scale our existing products and build new products alongside our customers. As a senior member of the team, you'll work closely with the engineering leadership team to shape technical and product vision. If you're passionate about working in a fast-paced environment and help build a category defining sales product, we want to hear from you.What you’ll do:Build and maintain scalable, high-performance applications across the full stackLead the design and implementation of new features in our core platformCollaborate closely with product, design, and other engineering teams to deliver impactful solutionsArchitect and develop front-end components using React and TypeScriptWork on back-end services and APIs with Node.js and PythonMentor and guide junior engineers in best practices, coding standards, and architectural principlesOwn the end-to-end delivery of features, from ideation to productionContinuously improve the performance, scalability, and reliability of our applicationsContribute to the company’s technical roadmap, setting standards for code quality and development processesHelp define and evolve the team’s engineering cultureWe’re looking for someone who has:At least 8 years of experience in full-stack engineering, with expertise in React, TypeScript, Node.js, and PythonProven technical leadership experience for at least 1 year, ideally with some experience in mentoring junior engineersDemonstrated ability to thrive in fast-paced and high-growth environmentsStrong communication skills and the ability to work effectively in a team-oriented environmentPast experience working at a startup or fast-growing tech company Compensation at Nooks for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options, comprehensive health, dental, vision, life and disability insurance coverage, hybrid work, and unlimited paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. 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 location listed is: $250K - $325K annually.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Nooks is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.Equal Employment Opportunity StatementNooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team.

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About the role We’re hiring an AI Architect to sit at the intersection of frontier AI research, product, and go-to-market. You’ll partner closely with ML teams in high-stakes meetings, scope and pitch solutions to top AI labs, and translate research needs (post-training, evals, alignment) into clear product roadmaps and measurable outcomes. You’ll drive end-to-end delivery—partnering with AI research teams and core customers to scope, pilot, and iterate on frontier model improvements—while coordinating with engineering, ops, and finance to translate cutting-edge research into deployable, high-impact solutions. What you’ll do Translate research → product: work with client side researchers on post-training, evals, safety/alignment and build the primitives, data, and tooling they need. Partner deeply with core customers and frontier labs: work hands-on with leading AI teams and frontier research labs to tackle hard, open-ended technical problems related to frontier model improvement, performance, and deployment. Shape and propose model improvement work: translate customer and research objectives into clear, technically rigorous proposals—scoping post-training, evaluation, and safety work into well-defined statements of work and execution plans. Translate research into production impact: collaborate with customer-side researchers on post-training, evaluations, and alignment, and help design the data, primitives, and tooling required to improve frontier models in practice. Own the end-to-end lifecycle: lead discovery, write crisp PRDs and technical specs, prioritize trade-offs, run experiments, ship initial solutions, and scale successful pilots into durable, repeatable offerings. Lead complex, high-stakes engagements: independently run technical working sessions with senior customer stakeholders; define success metrics; surface risks early; and drive programs to measurable outcomes. Partner across Scale: collaborate closely with research (agents, browser/SWE agents), platform, operations, security, and finance to deliver reliable, production-grade results for demanding customers. Build evaluation rigor at the frontier: design and stand up robust evaluation frameworks (e.g., RLVR, benchmarks), close the loop with data quality and feedback, and share learnings that elevate technical execution across accounts. You have Deep technical background in applied AI/ML: 5–10+ years in research, engineering, solutions engineering, or technical product roles working on LLMs or multimodal systems, ideally in high-stakes, customer-facing environments. Hands-on experience with model improvement workflows: demonstrated experience with post-training techniques, evaluation design, benchmarking, and model quality iteration. Ability to work on hard, ambiguous technical problems: proven track record of partnering directly with advanced customers or research teams to scope, reason through, and execute on deep technical challenges involving frontier models. Strong technical fluency: you can read papers, interrogate metrics, write or review complex Python/SQL for analysis, and reason about model-data trade-offs. Executive presence with world-class researchers and enterprise leaders; excellent writing and storytelling. Bias to action: you ship, learn, and iterate. How you’ll work Customer-obsessed: start from real research needs; prototype quickly; validate with data. Cross-functional by default: align research, engineering, ops, and GTM on a single plan; communicate clearly up and down. Field-forward: expect regular customer time and research leads; light travel as needed. What success looks like Clear wins with top labs: pilots that convert to scaled programs with strong eval signals. Reusable alignment & eval building blocks that shorten time-to-value across accounts. Crisp internal docs (PRDs, experiment readouts, exec updates) that drive decisions quickly. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$230,000 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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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At Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like Linear, Figma, Riot Games, Anthropic, Spotify, Arc’teryx, and Morningbrew are using Sanity to power and automate their content operations.AI is fundamentally changing how developers build applications. Vibecoding tools are seeing hundreds of thousands of signups per month, and professional developers now use AI-powered tooling as standard. Your team will capture this wave by building native integrations with the fastest-growing developer tools, improving our MCP server (incl. MCP Apps with UIs), and creating agentic builders that let anyone set up Sanity through natural language. You'll combine Growth's experiment-driven culture with deep technical work on AI developer experience. This is Sanity's biggest acquisition opportunity for product growth, and your team owns it end-to-end.Here's some of what the team has shipped recently:Sanity MCP Server – our remote MCP server, now generally available and listed as one of eight official MCP servers in Vercel's v0.Sanity Agent Toolkit – agent rules exposed via MCP, plus a Claude Code plugin with skills and slash commands.Auto-configured MCP in the CLI – the Sanity CLI automatically detects code editors and configures the MCP server for you.What you would do:Lead a team of engineers – help them prioritize for impact, grow in their careers, and do the best work of their lives.Own strategy, roadmap, and execution – work closely with your product and design partners to decide what to build and make sure it ships.Drive growth metrics – activation rates, signups from integrations, developer adoption. You'll know what's working because you're measuring it.Ship fast and iterate – run experiments, learn from failures, and double down on wins. The vast majority of experiments fail, so we value speed and pragmatism over perfection.Build AI developer tools – MCP integrations, agentic builders, and partnerships with the platforms where developers are building today.Build platform integrations – connect Sanity to the tools teams already use, like storage providers (Google Drive, Dropbox) and analytics platforms.Set technical direction – guide architecture decisions that balance velocity with maintainability across TypeScript, React, and Node.js, & Go microservicesCollaborate across the company – align with engineering leadership, marketing, and partnerships on shared growth metrics and goals.About you:Based in San Francisco – able to work from the office regularly.1+ years of engineering management experience – ideally in growth or experimentation-heavy environments.Strong full-stack technical skills – deep experience with TypeScript, React, Node.js, and Next.js. You can review code, guide architecture decisions, and jump in when needed. Not looking for managers who've drifted far from the code.Actively using MCP and AI tools – you've used MCP servers in your own workflow and have opinions on tools like Cursor, Claude Code, Lovable, and v0. You can articulate the differences between Claude Opus 4.5, Gemini 3, and GPT-5.2.Growth engineering experience – you've run A/B tests, optimized funnels, and made data-informed decisions. Familiarity with tools like GrowthBook, Amplitude, or similar.Strong cross-functional collaborator – you work well with product, design, marketing, and partnerships, and you're effective at managing stakeholders across the company.Comfortable with ambiguity – you can drive clarity when the path isn't obvious and make good decisions with incomplete information.Bias for action – you'd rather ship something and learn than plan forever. You know when to be scrappy and when to invest in quality.Not sure you meet every requirement? If you're excited about leading at the intersection of AI and growth, we want to hear from you. What we can offer:A highly-skilled, inspiring, and supportive teamPositive, flexible, and trust-based work environment that encourages long-term professional and personal growthA global, multi-culturally diverse group of colleagues and customersComprehensive health plans and perksA healthy work-life balance that accommodates individual and family needsCompetitive stock options program and location-based salarySalary Range: $240K - $290K annually. Final compensation within this range will be determined based on the candidate’s experience and skill set.Who we are:Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.You can only build a great company with a great culture. Sanity is a 200+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here!Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamAtlas is Basis’s internal agent team with a single mandate: make every employee 100× more productive.We’re building the internal agents, automations, and knowledge systems that make Basis the first truly agent-native company. Atlas connects people, context, and tools—operationalizing knowledge so that Basis runs faster, learns faster, and scales intelligently.Our work spans Retool apps, Chrome extensions, internal APIs, MCP integrations, and developer tooling that empower every team. We design for leverage: when Atlas ships something, the entire company gets faster.About the RoleAs an Atlas Engineer at Basis, you’ll own internal systems and agents end-to-end—from scoping to deployment. You’ll act as the Responsible Party (RP) for your projects: identifying opportunities, designing automations, building the systems, and measuring their impact.You’ll sit close to the work—talking with engineers, accounting teams, and operators to find bottlenecks—and you’ll fix them fast. Sometimes that means writing code; other times it means wiring up low-code tools or shaping agent behavior through prompts and evals.You won’t be managed—you’ll be trusted to find the highest-leverage problems and solve them with speed, clarity, and craft.What you’ll be doing:Build the systems that make Basis agent-nativeDesign and ship internal agents for coding, ops, and knowledge management.Define and maintain context architectures (docs, repos, APIs) that agents can reason about.Extend and evaluate agents—prompts, tools, and safety layers—to make them effective across workflows.Create fast feedback loops: instrument impact, analyze trajectories, and iterate on behavior.Automate high-leverage workflowsIdentify manual processes and turn them into reliable automations.Build and extend internal tools with Retool, custom scripts, or APIs. Integrate SaaS systems and internal data sources into unified workflows. Decide pragmatically when to code vs. configure—optimize for velocity and maintainability.Build connective tissue across teamsPartner with engineering, operations, and accounting to understand how work actually happens.Map out bottlenecks and design systems that remove them permanently.Build lightweight internal products—CLI tools, Slack bots, Chrome extensions—that give teammates superpowers.Document what you build so others can extend it easily.Operate as an RP — plan, build, iterateScope and plan your own projects with clarity; own timelines and decisions.Ship fast, instrument impact, and measure improvement.Run your own postmortems and refine processes as you go.Share learnings and frameworks that others can reuse across Basis.📍 Location: NYC, Flatiron office. In-person team.What Success looks like in this roleOwner: You identify, scope, and deliver automation projects independently.Integrator: Internal systems, data, and agents connect seamlessly through your work.Force multiplier: Each thing you build compounds leverage across the company.Simplifier: You replace friction with flow—making the complex legible and the slow fast.Builder: You operate with conviction, clarity, and care—improving Basis every week.

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamWe build the ML systems that power Basis's AI Accountant. Our systems read documents, reason over context, and complete real accounting workflows safely and accurately.We focus on the whole system, not just the model. We optimize everything around it: tools, memory, retrieval, orchestration, and evaluation. We push model providers to their limits when needed (custom runtimes, unusual packages, unconventional loops) and run experiments to learn quickly.We work in small, focused pods alongside Platform, Product, and Accounting experts. We think in systems, debate trade-offs, and write code that's observable, understandable, and built for continuous learning in production.About the RoleAs an ML Engineer at Basis, you'll own end-to-end projects that bring intelligence into production. You'll be the Responsible Party (RP) for systems that help our agents reason, plan, and evaluate themselves. That means you'll scope, build, and deliver from first principles.You'll have full autonomy: plan your projects, define success, run experiments, and decide when your system is ready to ship.You'll move fast, instrument everything, and design for clarity. You'll build the scaffolding that lets models act safely and improve continuously.This is a role for engineers who want to be both researchers and builders: reasoning through problems, experimenting with solutions, and shipping systems that get smarter over time.What you’ll be doing:Build and evolve our agent systemsDesign and iterate multi-agent architectures that automate real accounting workflows.Build in autonomy boundaries, tool usage, and fallback behaviors that make agents safe and reliable.Manage context and memory for coherence across steps. Plan and execute agent loops with measurable success criteria.Route, evaluate, and optimize models under real-world constraints (latency, cost, accuracy).Design evaluation and experimentation frameworksBuild scalable evaluation pipelines (offline and online) that run hundreds of experiments automatically.Define golden tasks, labeling strategies, and metrics that make performance measurable and comparable.Instrument the stack to detect regressions, track error patterns, and drive continuous improvement.Use data and experiments to drive product and architectural decisions, not just intuition.Engineer for context and retrievalBuild prompt stacks and instruction hierarchies that structure model reasoning.Create retrieval and indexing pipelines that surface relevant context efficiently.Parse messy documents into structured representations that agents can understand.Design guardrails and validation layers to keep behavior safe and predictable.Operate as an RP: plan, build, deliverScope your projects clearly. Write concise specs and architecture docs that eliminate ambiguity.Build, test, and instrument your systems end-to-end.Communicate progress clearly: what's built, what's learned, what's next.Work closely with your pod, teaching, unblocking, and sharing learnings as you go.📍 Location: NYC, Flatiron office. In-person team.What Success looks like in this roleYou scope, execute, and deliver your systems from concept to production.You instrument everything, measure outcomes, and learn from data.You design clean abstractions for complex ML systems that others can build on.Your work makes the whole team faster and better through clear interfaces and insights.You move fast, stay curious, and build with conviction and care.

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamThe Agent Data team ensures Basis agents have accurate data at low latency to do their jobs.About the RoleAs an Agent Data engineer at Basis you'll own projects completely from scoping to delivery. You'll be the Responsible Party (RP) for the systems you design. That means you decide how to build them, how to measure success, and when they're ready to ship.We trust you to manage yourself. You'll plan your own projects, work closely with your pod, and take full responsibility for execution and quality. You'll build systems that serve every part of Basis: AI, product, and internal agents. And you'll make those systems fast, reliable, and easy to understand.What you’ll be doing:Build and standardize our data platformDesign data pipelines that ingest, validate, and transform accounting data into clean, reliable datasets.Define schemas and data contracts that balance flexibility with correctness.Build validation, lineage tracking, and drift detection into every pipeline.Create interfaces that make data discoverable, computable, and observable throughout the system.Model the domain as a systemTranslate accounting concepts into well-structured ontologies: entities, relationships, and rules.Create abstractions that help AI systems reason safely about real-world constraints.Design for clarity: make complex workflows understandable through schema, code, and documentation.Lead through clarity and technical excellenceOwn the architectural vision for your area and keep it consistent over time.Run effective design reviews that challenge assumptions and drive alignment.Mentor engineers on how to think about systems: from load testing to schema design to observability patterns.Simplify aggressively—removing accidental complexity and enforcing clean, stable abstractions.📍 Location: NYC, Flatiron office. In-person team.

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications.   How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.   Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).    Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems Experience in LfD (Learning from Demonstrations), kinesthetic learning Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context Experience deploying machine learning models on edge compute hardwar​e  At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications.   How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.   Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).    Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems Experience in LfD (Learning from Demonstrations), kinesthetic learning Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context Experience deploying machine learning models on edge compute hardwar​e  At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications.   How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.   Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).    Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems Experience in LfD (Learning from Demonstrations), kinesthetic learning Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context Experience deploying machine learning models on edge compute hardwar​e  At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications.   How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.   Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).    Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems Experience in LfD (Learning from Demonstrations), kinesthetic learning Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context Experience deploying machine learning models on edge compute hardwar​e  At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.