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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:$201,600—$241,920 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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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:$201,600—$241,920 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About UsHarmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.About the RoleWe are looking for a Computer Vision Engineer to contribute to the development of the front-end of our visual inertial odometry (VIO) algorithmic stack.ResponsibilitiesVIO Front-end Algorithm development:Matching between frames and stereo pairsCalibration of cameras intrinsic and extrinsic parametersDetection of obstructionImplementation and optimization of the algorithmic stack for our embedded platformsTesting, Validation & Monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools..Cross-Team Collaboration: Work closely with system engineers, optical engineers, software engineers. Communicate findings effectively to stakeholders.Candidate RequirementsEducational Background: Master’s degree in Robotics, Physics, Computer Science or related field, PhD is a plusTechnical Expertise: Strong mathematical foundations, coding skills in both Python and C++Hands-on VIO project experience. Experience with VIO on industrial products is a huge plus.Passion for Computer Vision and RoboticsStrong Communication & Teamwork: Ability to collaborate effectively with diverse teamsCommitment: 100% dedication to Harmattan’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About UsHarmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.About the RoleWe are looking for a Computer Vision Engineer to join our Machine Learning and Computer Vision team. This role is crucial for developing core technical components across various robotics/aerospace projects.ResponsibilitiesResearch & Data Preparation: Conduct research on state-of-the-art Computer Vision methodologies. Participate in the creation and curation of training and validation datasets. Perform statistical analyses and develop visualization tools to ensure data quality.Algorithm Development & Optimization: Build and refine training pipelines and metrics to enhance model performance.Develop and optimize Computer Vision algorithms for multiple robotics/aerospace projects.Deployment & Integration: Implement ML/CV models into production-ready environments. Ensure seamless integration with Harmattan AI’s systems and conduct rigorous code reviews.Validation & Monitoring: Test algorithms in real-world environments and develop monitoring tools. Track model performance and continuously improve deployed solutions.Cross-Team Collaboration: Work closely with software and simulation teams to align development with system requirements. Communicate findings effectively to stakeholders.Candidate RequirementsEducational Background: A degree from a top-tier engineering school or university (Master’s degree in Computer Science or related field, PhD is a plus)Technical Expertise: Strong mathematical foundations, coding skills (Python, C++ is a plus) and hands-on ML/CV project experience. Experience in top AI companies is a huge plus.Passion for ML: Enthusiasm for Machine Learning and Computer Vision. Strong Communication & Teamwork: Ability to collaborate effectively with diverse teamsCommitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About Brain Co.Brain Co. is an applied AI startup founded by Elad Gil and Jared Kushner, backed by many of Silicon Valley’s leading builders—including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We build AI platforms and applications for the world’s most important institutions, delivering real impact on complex, real-world problems.Our progress so far:Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a global energy leader → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top-tier investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., interns contribute to real production systems and see their work deployed at global scale.About the Internship:As an AI/ML Engineer Intern, you’ll work alongside experienced engineers and researchers to help design, build, and deploy machine learning systems that solve high-impact problems in healthcare, government, and energy.This internship is designed for current undergraduate students (sophomores and juniors) who want hands-on experience applying modern AI techniques—especially large language models—to real-world challenges. You’ll gain exposure to the full ML lifecycle while receiving mentorship and ownership over meaningful projects.What You’ll DoAssist in designing and deploying LLM-powered applications to automate complex, real-world workflowsBuild and improve data pipelines and support model training, evaluation, and optimizationWork with structured and unstructured data (e.g., text, documents, logs)Help prepare models and systems for production deployment and monitoringCollaborate closely with senior engineers, AI researchers, and product teamsLearn best practices through code reviews, design discussions, and hands-on mentorshipGain exposure to customer-facing and real-world constraints, including working with public-sector institutionsYou Might Be a Good Fit If YouAre a current undergraduate student, specifically a sophomore or junior, pursuing a degree in Computer Science, Machine Learning, Data Science, or a related fieldHave experience programming in PythonHave coursework or project experience in machine learning or AIHave exposure to or interest in large language models and GenAI applications (e.g., agents, RAG, reasoning workflows)Have used or are eager to learn frameworks such as PyTorch, JAX, or TensorFlowHave strong fundamentals in data structures and algorithms Are curious, proactive, and excited to learn quickly in a fast-paced environmentEnjoy owning problems end-to-end with guidance and supportInternship Details & BenefitsCompetitive internship compensationHands-on mentorship from experienced AI engineers and researchersOpportunity to work on real production systems used globallyPotential return-offer consideration for future internships or full-time rolesDaily lunches (if onsite)Why Intern at Brain Co.Work on AI systems that have real-world impact, not toy projectsLearn directly from engineers and leaders with backgrounds at Tesla, DeepMind, Databricks, and moreBuild practical experience with state-of-the-art AI and LLMsTake ownership early and grow fast in a high-impact environmentBe part of a culture built on speed, curiosity, and responsibilityIf you’re a current sophomore or junior eager to apply AI to meaningful problems at global scale, Brain Co. is a place to learn, build, and make an impact.

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About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.About the RoleAs an AI Product Intern, you will work closely with engineers, researchers, and product leaders to help design, build, and deploy AI-powered software solving real-world problems. This is a highly hands-on role where you’ll gain exposure to the full product lifecycle — from understanding customer needs to shipping production-grade AI applications.You’ll contribute directly to live projects used by governments, healthcare systems, and industrial partners, while learning how cutting-edge AI is turned into real, scalable products.In This Role, You Will:Build & Ship Real Products: Support the design and development of AI-powered features across front-end, back-end, and data workflows. Help prototype and ship internal tools and customer-facing applications using modern web technologiesLearn Product + Engineering in Practice: Work with product managers and engineers to translate customer problems into clear product requirements. Gain exposure to how AI models are integrated into real-world software systemsCollaborate Closely: Partner with engineers, researchers, and operators to test, iterate, and improve AI-driven workflows. Participate in design discussions, sprint planning, and code reviewsOptimize & Improve: Assist with improving performance, reliability, and usability of deployed applications. Help analyze data, evaluate AI outputs, and iterate based on real customer feedbackMake a Real Impact: Contribute to projects modernizing government workflows, improving healthcare outcomes, or optimizing critical infrastructure. See your work deployed and used by real users — not just internal demosYou Will Thrive If You:Are currently pursuing (or recently completed) a Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field.Have experience with software development fundamentals (through coursework, internships, or personal projects).Are familiar with or excited to learn technologies like Python, TypeScript, React, REST APIs, and cloud platformsAre curious about AI systems, product thinking, and real-world applications of machine learningEnjoy solving ambiguous problems and learning quickly in fast-paced environmentsCommunicate clearly, collaborate well, and take ownership of your workAre excited to work directly on impactful problems rather than purely theoretical projectsWhat You’ll GainHands-on experience shipping AI products used at global scaleDirect mentorship from experienced engineers, researchers, and ex-foundersExposure to customer-facing product development in high-stakes environmentsA fast-learning environment where your impact is visible and meaningfulInternship Details & BenefitsCompetitive internship compensationHands-on mentorship from experienced AI engineers and researchersOpportunity to work on real production systems used globallyPotential return-offer consideration for future internships or full-time rolesDaily lunches (if onsite)Why Intern at Brain Co.Work on AI systems that have real-world impact, not toy projectsLearn directly from engineers and leaders with backgrounds at Tesla, DeepMind, Databricks, and moreBuild practical experience with state-of-the-art AI and LLMsTake ownership early and grow fast in a high-impact environmentBe part of a culture built on speed, curiosity, and responsibilityIf you’re a current sophomore or junior eager to apply AI to meaningful problems at global scale, Brain Co. is a place to learn, build, and make an impact.

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About the TeamThe Preparedness team is an important part of the Safety Systems org at OpenAI, and is guided by OpenAI’s Preparedness Framework.Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.The mission of the Preparedness team is to:Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic to our societyEnsure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systemsPreparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.About the RoleWe are looking to hire exceptional research engineers that can push the boundaries of our frontier models. Specifically, we are looking for those that will help us shape our empirical grasp of the whole spectrum of AI safety concerns and will own individual threads within this endeavor end-to-end. You will own the scientific validity of our frontier preparedness capability evaluations—designing new evals grounded in real threat models (including high-consequence domains like CBRN as well as cyber and other frontier-risk areas), and maintaining existing evals so they don’t stale or silently regress. You’ll define datasets, graders, rubrics, and threshold guidance, and produce auditable artifacts (evaluation cards, capability reports, system-card inputs) that leadership can trust during high-stakes launches.In this role, you'll:Work on identifying emerging AI safety risks and new methodologies for exploring the impact of these risksBuild (and then continuously refine) evaluations of frontier AI models that assess the extent of identified risksDesign and build scalable systems and processes that can support these kinds of evaluationsContribute to the refinement of risk management and the overall development of "best practice" guidelines for AI safety evaluationsYou might thrive in this role if you:Are passionate and knowledgeable about short-term and long-term AI safety risksDemonstrate the ability to think outside the box and have a robust “red-teaming mindset”Have experience in ML research engineering, ML observability and monitoring, creating large language model-enabled applications, and/or another technical domain applicable to AI riskAre able to operate effectively in a dynamic and extremely fast-paced research environment as well as scope and deliver projects end-to-endIt would be great if you also have:First-hand experience in red-teaming systems—be it computer systems or otherwiseA good understanding of the (nuances of) societal aspects of AI deploymentExcellent communication skills and the ability to work cross-functionallyThis role may require access to technology or technical data controlled under the U.S. Export Administration Regulations or International Traffic in Arms Regulations. Therefore, this role is restricted to individuals described in paragraph (a)(1) of the definition of “U.S. person” in the U.S. Export Administration Regulations, 15 C.F.R. § 772.1, and in the International Traffic in Arms Regulations, 22 C.F.R. § 120.62. U.S. persons are U.S. citizens, U.S. legal permanent residents, individuals granted asylum status in the United States, and individuals admitted to the United States as refugees.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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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through super intelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleWRITER is looking for a pioneering forward deployed engineer with strong software engineering and AI expertise to be embedded onsite with a strategic enterprise client as their dedicated technical partner. At WRITER, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our Forward deployed engineers, we ensure our most complex enterprise clients successfully deploy and maintain the WRITER AI platform as is with the standard release configurations, and obtain any internal client-specific security and compliance approvals without compromising standard features.As a forward deployed engineer at WRITER, you'll be embedded onsite at the client location in NYC, working shoulder-to-shoulder with their engineering, AI Center of Excellence (COE), and business teams on a daily basis. This is a full-time role that requires being present at the client's office 2-3 days per week. You'll serve as the technical bridge between WRITER and the client, owning the client-specific release workflow from sandbox deployment through production. Your daily collaboration with client teams will ensure seamless integration, rapid issue resolution, and successful adoption of WRITER's AI capabilities across the organization. You will report to the head of customer solutions engineering.This is a unique opportunity to be the face of WRITER's technical excellence, building deep relationships with client stakeholders while solving complex AI deployment challenges in a fast-paced enterprise environment. If you're passionate about enterprise AI deployment, thrive in client-facing roles, and love being embedded in complex technical environments, then we want to hear from you.This role requires being onsite 2-3 days per week and travel to client location based on need. 🦸🏻‍♀️ What you'll doServe as WRITER's embedded technical AI specialist onsite, building strong daily relationships with client engineering, AI COE, and business teams, and acting as the primary point of contact for all WRITER-related technical mattersOwn the end-to-end release workflow from WRITER platform updates through production deployment across all client environments, including coordinating dual-track updates, making critical go/no-go decisions, and providing hands-on troubleshootingDesign, implement, and maintain the client's custom front-end setup, production retrieval, and agentic systems, while rigorously testing, validating, and troubleshooting AI-specific features like LLM applications, RAG performance, and prompt engineeringNavigate client security, risk, and compliance approval processes, working with Information Security teams to obtain necessary approvals, documenting compliance artifacts, and streamlining workflows to meet regulatory requirementsReduce operational pain points, contribute to long-term migration strategies for clients towards standard WRITER-managed environments, and gather real-world deployment feedback to strategically influence WRITER's product direction⭐️ What you'll need7+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML development and 2+ years in highly regulated, customer-facing roles at enterprise scaleExpert-level proficiency in Python and modern JavaScript (ES6+), production software development, systems design, and modern front-end frameworks (React, Vue.js, Angular)Extensive hands-on experience deploying and optimizing LLM-based applications and agentic systems in production environments, with deep knowledge of RAG implementation, CI/CD practices for AI, and evaluating AI model performanceProven track record of managing complex multi-environment release pipelines, coordinating synchronization between distributed systems, and expertly navigating enterprise approval workflows and governance in Fortune 500 or large financial services clientsDemonstrated ability to Connect effectively with diverse client stakeholders through onsite embedding, Challenge existing technical paradigms to drive innovation, and Own problem-solving from discovery to production impact, exhibiting strong analytical, communication, and presentation skills suitable for executive engagement🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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About GrowthX AIAt GrowthX, we’re building the modern growth engine for marketing teams. Since launching in 2024, we've grown from concept to eight-figure annual revenue. To date, we've raised a $12M Series A led by Madrona Venture Group and we partner with 60+ companies ranging from high-growth startups to industry leaders like Lovable, Webflow, Ramp, Superhuman, Strapi, Abnormal Security, and Augment Code.We’ve built something different: an operating system that unifies powerful AI workflows with forward-deployed experts to transform content into compounding organic growth. We’re building the growth infrastructure marketing teams wish they’d always had — the system that reliably turns context into strategy, strategy into execution, and execution into measurable growth.The RoleAs a Client Operations Engineer, you'll design and build custom solutions that range from AI-powered workflows to full-stack applications—leveraging your unique blend of technical SEO & Marketing expertise and technical skills. While you will occasionally interface directly with clients, you'll also work closely with our internal teams who do, translating client requirements into elegant technical solutions that drive measurable growth. Your work will span the entire development lifecycle—from conceptualization and architecture to implementation, testing, and deployment.Beyond client projects, you'll contribute to our internal ecosystem by developing tools for our marketing team and creating micro-applications on top of our AI stack. Given your background in bridging marketing and engineering, you'll find this blend of external and internal development particularly aligned with your experience.The Ideal CandidateBeyond meeting the technical requirements, the ideal Client Operations Engineer is someone who gets energized by variety and problem-solving. You should be comfortable wearing multiple hats—from frontend developer to AI workflow engineer and Vibe Coder. Your experience in technical SEO or growth marketing has likely taught you to think systematically about complex problems, optimize for measurable outcomes, and work at the intersection of technical implementation and business growth.If you're excited about applying your growth expertise across diverse projects, continuing to harness the power of AI, and contributing to both client success and internal innovation, we'd love to talk with you about joining GrowthX.Your Day-to-DayNo two days will look exactly alike in this position. One week you might be updating our website and micro-apps, the next you could be deep in development of a client-specific application that spans several months. You might spend a day configuring LLMs to power a new AI workflow, then pivot to building an internal tool that streamlines our operations—similar to the custom tools and applications you've built for SEO and growth optimization.Technical ExpectationsWe're looking for engineers (5+ years of experience) with comprehensive technical expertise. Your technical toolkit should include:A background in SEO/AEO, Growth Engineering, Markeing roles, or creating custom growth toolsAdvanced JavaScript proficiency with React/TypeScript experienceA bBackground in SEO/AEO, growth engineering, Mmarketing roles, OR, or creating custom growth toolsExperience prompt engineering or vibe codingComfortable integrating with and configuring LLMs and AI systemsStrong understanding of API design and integration patternsNice to Have:Experience building Gen AI/LLM-based productsBackend development experience (Ruby on Rails preferred, but Python or Node also welcomed)Experience in testing and Quality AssuranceBeyond the Technical:Technical skills form the foundation, but success in this role requires more. Ideal candidates:Strong Understanding of content, growth, and automationCan translate complex technical concepts into clear solutions for cross-functional teamsAbility to QA non-deterministic outputs and adjust prompts as neededTake ownership of their work with minimal oversightThrive under shifting priorities and occasional tight deadlinesCollaborate effectively with marketing, product, and technical teamsAdapt quickly to new technologies and changing requirementsWork EnvironmentThis is a fully remote position with flexible scheduling, though we require at least 4 hours of overlap with US Pacific Time for synchronous collaboration. We've built an AI-native culture that encourages leveraging cutting-edge tools to maximize productivity and creativity—an approach that aligns with your philosophy of using code, AI, and custom tools to unlock growth at scale.We operate with a results-oriented mindset—while we maintain core collaborative hours, we trust our team members to manage their time effectively and deliver high-quality work. You'll be joining a team that values transparent communication, constructive feedback, and continuous learning.Perks:🌍 Fully Remote WorkWork from anywhere—your productivity, your space!We do require an overlap with 8am to 12pm PTWe help set up your work environment to enable your best work.Minimal meetings and async communication for deep focus🏖 Ample Time OffEnablement for you to recognize your countries holidaysWe encourage you to take the time you need to recharge!📚 Professional GrowthWe’re an AI forward culture and work environment - Learn all things AI!Access to training, workshops & mentorship programsSupport for external conferences & industry events🤝 Collaborative CultureOpen communication & feedback-driven environment.Clear, concise communication is key to our success.Work Visa: Applicants must have legal authorization to work in the country of residence. We are not able to provide employment visa sponsorship at this time.#LI-Remote

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right inWe are hiring a Software AI Engineer to join the Engineering Productivity (EngProd) team at Aircall. Your mission is to accelerate AI adoption across the engineering organization by building AI-powered tools and systems that measurably improve how engineers work — reducing friction, automating repetitive tasks, and embedding intelligence directly into everyday workflows. This is not a research role and not a customer-facing product AI role.You will build practical, production-grade AI solutions that engineers use daily, and you will be accountable for their real-world adoption and impact. This role is about using AI to make engineers more effective, not about chasing trends.If you enjoy building real systems that people rely on every day — this role is for you.What You'll DoTake clear ownership of rapid AI adoption across the engineering organizationIdentify high-friction areas in engineering workflows where AI can meaningfully improve productivityDesign and build practical, production-grade AI-powered developer tooling (coding, testing, PR reviews, debugging)Build contextual, system-aware AI assistants using internal data, codebases, and toolingExplore, prototype, and productionize AI-driven solutions with strong autonomy on how problems are solvedAutomate and streamline workflows across GitLab, Jira, CI/CD, Slack, and observability toolsDesign and operate internal AI services and orchestration layers (e.g. MCP servers)Own solutions end-to-end: discovery → design → build → measure → iterateWork hands-on with engineering teams to remove friction, enable usage, and move tools from delivery to daily practiceMeasure success through adoption, impact, and tangible time saved for engineersWhat You Won't DoBuild AI features for customer-facing productsWork on speculative AI research without clear outcomesAct as a general internal support teamOwn generic ML infrastructure unrelated to developer productivityWhat We’re Looking For - Required Experience5+ years of experience as a software engineer, with recent focus on GenAI systemsStrong experience building production-grade systems, not just prototypesHands-on experience with:LLMs (OpenAI, Anthropic, etc.)Prompting, retrieval, and context injectionAI-powered tooling or internal platformsSolid backend engineering skills (APIs, services, integrations)Experience working with developer tools (CI/CD, GitHub/GitLab, Jira, observability)Strong product mindset and comfort operating in ambiguous problem spacesNice to HaveParticularly interesting profiles are engineers who have built developer tools and are now evolving toward AI-native system design.Prior experience building developer tools, internal platforms, or DevEx toolingExperience evolving traditional tooling into AI-assisted or AI-driven workflowsFamiliarity with MCP, agent-based systems, or model orchestration conceptsExperience integrating AI with large codebases, monorepos, or complex CI/CD environmentsExposure to security, privacy, and trust considerations in internal AI systemsHow You’ll Be SuccessfulAI solutions you build are widely adopted and used regularly by engineersEngineering productivity measurably improves, using:existing metrics we already track (e.g. DevEx, CI, delivery, quality, flow), and/ornew, clearly defined metrics you help introduce to capture AI impactManual, repetitive workflows are reduced or eliminated, with clear before/after comparisonsEngineering time is visibly saved and reinvested into higher-value workImprovements are demonstrated with data, not just qualitative feedbackAdoption grows organically because tools are useful, fast, and well-integrated into existing workflowsTeam & EnvironmentYou’ll join the Engineering Productivity teamYou’ll work closely with engineers across the companyStrong collaboration with Infrastructure and Security teamsProduct-oriented culture focused on outcomes, not hypeLocationUnited States (preferred: Seattle or San Francisco)Open to strong US-based candidates in other locationsCollaboration with teams in Europe expected 160,000 - 220,000 a yearThis is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO — take the time you need to come to work feeling great!⭐️ Wellness, commuter, and childcare reimbursements💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

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Join the Sleep Fitness MovementAt Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience.We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger.Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up.High Standards. No ApologiesWe operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. We’re a team that puts in the extra effort, not because it’s required, but because we care about the impact of our work. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier – this isn’t it. The roleWe’re hiring an ML Systems Engineer / Data Engineer to build the platform foundations that power our ML lifecycle - from data ingestion and curation to training, evaluation, deployment, and monitoring. This is a highly leveraged role: your work will accelerate every model, every experiment, and every product launch across AI/ML.You’ll partner with ML engineers, data science, firmware, and backend teams to create scalable, reliable systems for time-series and biometrics-grade data.How you’ll contributeBuild and operate high-throughput pipelines for sensor and event data (batch + streaming), with strong guarantees on quality, lineage, and reliability.Create scalable dataset curation and labeling workflows: sampling, slice definitions, weak supervision, gold-set management, and evaluation set integrity.Develop ML platform components: feature pipelines, training orchestration, model registry, reproducible experiment tracking, and automated evaluation.Implement monitoring and observability for production ML systems: data drift, performance regression, alerting, and automated failure detection.Standardize schemas and interfaces across studies and product telemetry to enable reusable, consistent analytics and model development.Collaborate cross-functionally to support new studies and launches, ensuring data architecture meets evolving research and product needs.What you need to succeedMinimum Qualifications2+ years building data/ML infrastructure in production (data engineering, ML platform, or MLOps).Strong Python engineering and SQL fluency; proven ability to write clean, maintainable, high-performance code.Experience with distributed processing (e.g., Spark, Flink, Ray) and workflow orchestration (e.g., Airflow or similar).Experience with cloud infrastructure and data systems (e.g., AWS/GCP; object storage; streaming systems; warehouses/lakehouses).Practical understanding of ML development workflows (training/eval/inference), and how platform decisions affect model velocity and reliability.Strong debugging skills in Linux environments and comfort operating systems that run 24/7.Bonus PointsExperience with time-series, sensor, or biometrics data (wearables/IoT) and handling irregular sampling, missingness, and calibration.Experience building feature stores, online/offline parity systems, and low-latency inference pipelines.Experience with containerization and deployment (Docker/Kubernetes), and ML CI/CD practices.Exposure to regulated or research environments (clinical studies, validation processes, privacy/security constraints). Why join Eight Sleep?Innovation in a culture of excellenceJoin us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness.Immediate responsibility and accelerated career growthFrom your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards.Collaboration with exceptional talentWork alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment.Equitable compensation and continuous equity investmentWe extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact.Your own Pod - and other great benefitsEvery Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with other benefits. Learn more at eightsleep.com/careersAt Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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Join the Sleep Fitness MovementAt Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience.We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger.Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up.High Standards. No ApologiesWe operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. We’re a team that puts in the extra effort, not because it’s required, but because we care about the impact of our work. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier – this isn’t it. The roleWe’re looking for a Machine Learning Engineer to build and ship consumer-facing AI systems that power personalization, coaching, and next-generation “sleep intelligence.” You’ll work across data, modeling, product, and engineering to translate research into reliable, measurable improvements for members.This role is ideal for someone who loves end-to-end ownership: from problem framing → prototyping → offline evaluation → online experimentation → production deployment → iteration.How you’ll contributeBuild and deploy ML models that improve sleep experiences through personalization, prediction, and behavior understanding (e.g., readiness forecasting, event detection, individualized recommendations).Apply and adapt foundation-model capabilities to real product workflows (LLM + tools/RAG, multimodal modeling, policy learning), including MCP-style integrations where helpful.Develop user behavior models that connect longitudinal signals (sleep, environment, routines) to actionable interventions - grounded in robust experimentation and measurement.Design evaluation strategies (offline metrics, slice-based analysis, calibration, reliability, fairness) and partner with Product to run high-quality online experiments.Productionize models: scalable training/inference pipelines, model monitoring, drift detection, alerting, and continuous improvement loops.Collaborate with cross-functional partners (Product, Mobile, Backend, Clinical) to scope requirements and ship high-impact features.What you need to succeedMinimum Qualifications2+ years building ML systems in production, ideally for consumer-facing products.Strong ML fundamentals across supervised learning, sequence/time-series modeling, and modern deep learning.Hands-on experience with large-scale model training and evaluation (PyTorch/TensorFlow/JAX), and strong Python engineering practices.Experience with personalization systems (ranking/recommendations, segmentation, lifecycle modeling, propensity/behavior modeling, causal/experiment-aware thinking).Fluency with data tooling (SQL, distributed compute such as Spark/Ray, and cloud storage/compute).Strong product sense: you can translate ambiguous goals into measurable outcomes and iterate quickly with stakeholders.Bonus PointsExperience applying LLMs/foundation models to product features (tool use, retrieval, structured outputs, guardrails, evals).Experience with multimodal data (sensor signals + context) and/or health/biometrics data.Experience with privacy-preserving approaches (on-device/federated learning, differential privacy, data minimization).Experience designing experimentation frameworks or causal inference approaches for personalization. Why join Eight Sleep?Innovation in a culture of excellenceJoin us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness.Immediate responsibility and accelerated career growthFrom your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards.Collaboration with exceptional talentWork alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment.Equitable compensation and continuous equity investmentWe extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact.Your own Pod - and other great benefitsEvery Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with other benefits. Learn more at eightsleep.com/careersAt Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, & co-founder, Tim Shi, an early member of Open AI. We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the Role: At Cresta, shipping AI is only half the story. Deploying it successfully is where the real impact happens. As an AI Deployment Manager, you’ll own the moment where cutting-edge AI becomes real-world results. You’ll lead customer deployments end-to-end, turning ambitious AI initiatives into live, adopted solutions that drive measurable business outcomes. This role is perfect for someone who loves leading complex projects, working directly with customers, and seeing technology make a tangible difference. You’ll be hands-on, customer-facing, and deeply embedded in how Cresta delivers value at scale. What You’ll Do: Lead end-to-end AI deployments, from kickoff to successful launch Own project planning, timelines, execution, and delivery across customer implementations Act as a trusted partner to customers, helping translate business goals into successful AI deployments Deploy and operationalize AI models across Cresta’s platform in partnership with internal teams Including rules-based models, summarization, generative knowledge assistance, and more Drive value realization, ensuring deployments deliver measurable results — not just go-live dates Guide customers confidently through every phase of deployment, keeping momentum high and stakeholders aligned Collaborate closely with Solutions Engineering, Product, Customer Success, and Engineering teams Anticipate risks, solve problems, and keep complex initiatives moving forward What Success Looks Like: Customers launch AI solutions that actually get used — and drive real outcomes Deployments are smooth, on time, and aligned to clear success metrics Customers leave deployment excited, confident, and ready to scale Internal teams rely on you to bring clarity and execution to complex work You consistently turn complexity into progress Qualifications We Value: Experience leading technical or AI-driven SaaS implementations Strong project management skills paired with a consultative mindset Comfort working with technical concepts, data, and analytics Ability to translate complex technology into clear, actionable plans A customer-first mentality with a bias toward execution and outcomes Thrive in fast-paced, high-growth environments Why You’ll Love This Role: You’ll own some of the most visible and impactful work at Cresta You’ll work hands-on with cutting-edge AI used by leading enterprises You’ll partner deeply with customers and see the impact of your work firsthand You’ll collaborate with world-class teams across product, engineering, and go-to-market You’ll help define what “great AI deployment” looks like at scale Compensation at Cresta: Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. Compensation for this position includes a Base salary + Bonus + Equity. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Your recruiter can provide further details. In addition, total compensation includes a comprehensive benefits package for you and your family. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai  

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We are looking for the best 42dot의 Physical AI Engineer는 자율주행 차량의 미래 경로 예측 및 주행 계획(Motion Planning)을 위한 머신러닝 알고리즘 개발에 참여합니다. 대규모 주행 데이터를 분석하고, 지도학습 및 강화학습 기반 모델을 구현·개선하여 안전하고 자연스러운 차량 주행을 가능하게 하는 핵심 기술을 함께 만들어 갑니다. 본 포지션은 시니어 엔지니어 및 연구원과 협업하며 자율주행 머신러닝 시스템 전반을 학습하고 성장할 수 있는 역할입니다.About Us42dot은 소프트웨어와 AI로 모빌리티 문제를 해결하기 위해 노력하는 모빌리티 AI 기업입니다. 현대자동차그룹 글로벌 소프트웨어 센터로서, 42dot은 소프트웨어 정의 차량 개발을 선도하며 미래 모빌리티를 개척하고 있습니다.우리는 안전을 최우선으로 하고 사용자 중심적인 소프트웨어 정의 차량 기술을 개발하여, 스마트폰처럼 지속적인 업데이트를 통해 최신 성능을 제공합니다. 소프트웨어와 AI 기술을 발전시켜, 42dot은 모든 것이 연결되고 자율적으로 움직이는 자율 관리형 도시 교통 운영 체제를 통해 새로운 세상을 그려 나가고 있습니다.Responsibilities​• 자율주행을 위한 미래 경로 예측 및 행동 예측 머신러닝 모델 개발 보조 • Perception, Decision-making, Motion Planning 관련 ML 모델의 구현, 실험, 성능 개선 주행 데이터 수집, 전처리, 분석 및 학습 데이터셋 구성 • 지도학습, 강화학습, 모방학습 기반 알고리즘의 실험 및 적용 • 학습된 모델의 성능 평가 및 개선을 위한 실험 설계 • 차량 소프트웨어 스택과 연동되는 ML 모델 테스트 및 디버깅 지원 • 시니어 엔지니어와 협업하여 머신러닝 개발 프로세스 및 베스트 프랙티스 학습Qualifications• 컴퓨터공학, 머신러닝, 인공지능, 로보틱스 등 관련 전공 석사 또는 박사 학위(졸업 예정자 지원 가능) • 머신러닝 및 딥러닝 기본 이론에 대한 이해(예: CNN, RNN, Transformer 등) • Python 기반 프로그래밍 능력 • PyTorch 또는 TensorFlow 등 딥러닝 프레임워크 사용 경험 • 머신러닝 모델 학습, 평가, 실험 경험 • 새로운 기술을 빠르게 학습하고 문제 해결에 적용하려는 태도 • 팀원과 원활하게 협업할 수 있는 커뮤니케이션 능력 Preferred Qualifications• 강화학습(Reinforcement Learning), 모방학습(Imitation Learning) 관련 수업 또는 프로젝트 경험 • 자율주행, 로보틱스, 경로 계획 관련 연구 또는 프로젝트 경험 • 대규모 데이터셋을 활용한 실험 또는 연구 경험 • ROS1/ROS2 사용 경험 • GPU 환경에서의 모델 학습 또는 추론 경험 • 관련 학회 논문 리딩 또는 연구 참여 경험(CVPR, ICCV, ECCV, IROS, ICRA 등)Interview Process서류전형 - 코딩테스트 - 화상면접 (1시간 내외) - 대면 혹은 화상면접 (3시간 내외) - 최종합격전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.Additional Information이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다.모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다.※ 지원 전 아래 내용을 꼭 확인해 주세요.42dot이 일하는 방식, 42dot Way 보러가기 →42dot만의 업무몰입 프로그램, Employee Engagement Program 보러가기 →

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We are looking for the best About Us: 42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles.We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system. About the Role: As a Senior SLAM Engineer at 42dot, you will lead the development of advanced localization and mapping technologies that form the foundation of autonomous driving. Leveraging cutting-edge geometric vision techniques, you will design robust SLAM pipelines that fuse data from multiple sensors to estimate the vehicle’s pose and reconstruct its surroundings in real-time. You will work closely with cross-functional teams across perception, planning, and robotics to ensure the seamless integration and deployment of SLAM systems in production-level autonomous vehicles. ResponsibilitiesDesign and implement state-of-the-art SLAM algorithms for real-time localization and mapping using multi-modal sensor inputs (e.g., cameras, IMUs, GPS, wheel encoders).Develop robust online and offline state estimation methods for complex urban and highway environments.Focus on 3D geometric vision problems such as VSLAM, VIO, SfM, and scene reconstruction.Implement robust motion estimation, feature matching, loop closure, and map optimization pipelines.Apply non-linear optimization and filtering techniques (e.g., bundle adjustment, graph SLAM, EKF) to maximize system accuracy and robustness.Collaborate with sensor calibration and perception teams to improve system performance and consistency.Evaluate and benchmark system performance using large-scale datasets and real-world driving scenarios.Contribute to system integration, continuous validation, and deployment of SLAM modules on autonomous vehicle platforms.Mentor junior engineers and contribute to technical leadership within the team.QualificationsPhD degree in computer vision, robotics, or a related field is a plusMinimum of 2 years of industrial or postdoctoral experience in SLAM, localization, or robotic perceptionDeep theoretical and practical understanding of SLAM systems, 3D geometry, and sensor fusionHands-on experience with real-world datasets and deployment of SLAM pipelines in field environmentsProficiency in modern C++ and Python, with strong software engineering practicesExperience with optimization libraries (e.g., g2o, Ceres Solver) and robotics frameworks (e.g., ROS)Preferred QualificationsExperience in large-scale autonomous driving or robotics system developmentFamiliarity with sensor modeling and calibration for cameras, IMUs, GPS, and wheel encodersExpertise in real-time performance optimization, multi-threading, and hardware acceleration (GPU, SIMD)Contributions to open-source SLAM libraries or publications in top-tier conferences (e.g., ICRA, CVPR, RSS)Experience with mapping infrastructure, map maintenance, and life-long localizationStrong communication skills and ability to collaborate across multidisciplinary teamsInterview ProcessApplication Review - Coding Test - 1st Interview - 2nd Interview - OfferThe process may vary by position and is subject to change.Schedule and results will be communicated via the email provided in your application.※ Please review the following information before applying.How to work in 42dot, About 42dot Way →Base Salary:$120,000 - $305,000

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About the RoleThe mission of Neural Concept’s ML Application Engineering team is to help our customers solve their most complex engineering challenges. We collaborate closely with engineering and design teams within the automotive, aerospace and energy industries, understand their challenges and pains, and help them identify solutions to accelerate their conception processes. We leverage our platform to unlock the value of the most complex computer-aided engineering datasets and to create a direct impact on product design processes. Using 3D deep learning and engineering intelligence, we empower our customers to develop better products faster.As a key player in the Application Engineering Team, your mission will be to help industry leaders to redefine their product design workflow with cutting-edge technologies. Your expertise should establish trust and admiration from our customers by delivering high-quality technical work. This is a chance to be at the intersection of engineering and AI, working with top-tier customers worldwide while shaping how the industry evolves. If you are interested in feeling firsthand the fast progress of engineering, this is the team for you.What you will do You will run projects together with our customer’s engineering teams, analyze and process engineering data using our platform and python libraries, and develop tailored solutions and workflowsYou will apply our machine- and deep-learning workflows to different engineering/physics problems, as well as deliver proofs-of-concept demonstrating how our technology creates value in CAD, CAE, and manufacturing. You will train customer teams to effectively use our methods and platform, ensuring smooth AI adoption into their workflows.You will work closely with our developers to translate customer needs and feedback into product improvements.Who you are You are eager to tackle real-world challenges through machine learning and automation, with a passion for reshaping how engineering is practiced by industry leadersYou hold a Master’s or PhD degree in Engineering, Applied Mathematics, or Physics You have an excellent understanding of both Engineering and Machine Learning (strict requirement)You have strong experience with Python programming, and experience with machine learning and deep learning frameworks and libraries (strict requirement)You have experience with simulation. Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus You can convey technical concepts to both technical and non-technical stakeholders in a clear and compelling way You have excellent communication skills, enjoy working with people, and feel comfortable in the customer-facing roleYou are fluent in English and French (preferably native)What You GetWork with a world-class technology team – our engineers are top-notch, and we always aim for excellence.Benefit from a competitive salary and rewarding opportunities as we continue to scale.Thrive in a collaborative, multicultural environment where your work is visible and recognized.Develop professionally alongside talented colleagues who share knowledge freely and support one another.Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

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About GranicaGranica is an AI research and infrastructure company building reliable and steerable representations for enterprise structured data. The rarest thing in enterprise AI is durable access plus trust. Crunch is how we earn it: a policy-driven physical health layer that keeps large tabular data estates efficient and reliable, safely and reversibly. On top of that foundation, we’re building structured intelligence using Large Tabular Models: systems that learn cross-column and relational structure to deliver trustworthy answers and automation with provenance and governance built in.Engineering Manager — Foundational Data Systems for AILocation: Downtown Mountain View, CA (office-based, 5 days/week) Team: Foundational Data SystemsAbout the RoleWe’re hiring an Engineering Manager to lead our core team building Granica’s Foundational Data Systems—the infrastructure layer that everything else depends on.You’ll lead a globally distributed team of ~15–20 senior engineers across the US, India, and Canada, owning systems across storage, metadata, compute, and infrastructure. This is a high-impact leadership role with real architectural influence and long-term ownership.Data infrastructure is critical at Granica. The systems your team builds directly determine the reliability, efficiency, and velocity of our research, product development, and enterprise deployments.This role is ideal for a technically strong leader who enjoys building teams, shaping systems that last, and operating with high trust and autonomy.The MissionAI today is constrained not just by model design, but by the inefficiency of the data that feeds it. At scale, redundant bytes, poorly organized datasets, and inefficient data paths translate directly into higher cost, slower iteration, and wasted energy.Granica’s mission is to remove that inefficiency at the foundation. We design self-optimizing data infrastructure—systems that continuously reorganize, compress, and maintain structured data so it can be learned from efficiently and reliably by AI systems.This engineering team works closely with the Granica Research group led by Prof. Andrea Montanari (Stanford), translating advances in information theory and learning efficiency into large-scale distributed systems. Together, we believe the next major advance in AI will come from better systems and better data, not simply larger models.What You’ll DoLead, mentor, and grow a team of senior engineers across multiple geographiesOwn hiring, onboarding, and career development in a high-bar engineering cultureSet technical direction through design reviews, RFCs, and principled trade-offsOwn the design and evolution of foundational systems spanning:Table maintenance and data layoutMetadata, transactions, and schema evolutionDistributed compute and orchestrationReliability, observability, and operational toolingTranslate strategy into execution through roadmaps and milestonesEstablish and uphold reliability, latency, and operational standardsLead incident response, postmortems, and continuous system improvementPartner closely with Research, Applied AI, Product, and Infrastructure teams to move ideas from research into productionSkills and QualificationsMinimum Qualifications7+ years of experience in backend, infrastructure, or distributed systems engineering2+ years leading engineering teams or large, multi-person technical initiativesDeep expertise in distributed compute frameworks (e.g., Spark, Trino, Presto) and columnar formats (Parquet, ORC)Experience building or operating data platforms, lakehouse systems, or large-scale analytics infrastructureStrong systems design instincts across distributed compute, storage, and data platformsExperience operating and scaling production systems with real reliability requirementsHands-on technical background; comfortable participating in deep technical discussions Preferred QualificationsExperience with Iceberg, Delta Lake, or similar table formatsExperience partnering closely with research or ML teamsTrack record of scaling teams in high-ambiguity, fast-moving environmentsLogisticsLocation: Downtown Mountain View, CAWork model: Office-based, five days per weekTeam: Foundational Data SystemsLeadership scope: ~15–20 engineers across the US, India, and CanadaWhy GranicaFundamental Research Meets Enterprise Impact. Work at the intersection of science and engineering, turning foundational research into deployed systems serving enterprise workloads at exabyte scale.AI by Design. Build the infrastructure that defines how efficiently the world can create and apply intelligence.Real Ownership. Design primitives that will underpin the next decade of AI infrastructure.High-Trust Environment. Deep technical work, minimal bureaucracy, shared mission.Enduring Horizon. Backed by NEA, Bain Capital, and various luminaries from tech and business. We are building a generational company for decades, not quarters or a product cycle.Compensation & BenefitsCompetitive salary, meaningful equity, and substantial bonus for top performersFlexible time off plus comprehensive health coverage for you and your familySupport for research, publication, and deep technical explorationAt Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring. Join us to build the foundational data systems that power the future of enterprise AI!

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About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.The Role: As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions. Key Responsibilities: Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology. Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues. New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments. Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications. Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration. Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles. Robust coding skills required, preferably with proficiency in Python. Demonstrated ability to lead and execute complex technical projects with a focus on customer success. Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams. Preferred Qualifications: Master’s degree in Computer Science, Engineering, or a related technical field. Experience working in a startup or fast-paced environment. Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT). Solid understanding of generative AI, machine learning principles, and enterprise infrastructure. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.Base Pay Range (Plus Equity)$170,000—$240,000 USDWhy Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs an Applied AI Engineer on the Engineering team at Harvey, you will own and lead engineering projects across our various product lines. We are looking for individuals who have worked across the stack on incredible products and have experience building products where machine learning models are a core component. This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.What You'll DoConduct data collection, experimentation, and analysis to drive algorithmic development for RAG and multi-step AI pipelines.Zero-to-one product development: rapidly prototype, evaluate, integrate, and test new product features in close partnership with our legal team. Develop new AI native workflows: implement streaming, long-running tasks, procedural UX, etc. for new AI tasks, finding the balance between state-of-the-art and pragmatism.Representative ProjectsPartner with our legal team to design and implement a method for evaluating the correctness of document citations. Use this to build a large dataset of ground-truth citations and then improve our core citation algorithm. You can read about some of our work on evaluation and citations here (1, 2, 3).Make targeted improvements to our RAG pipelines to improve answer quality for user questions over corpuses of complex data, like massive banks of spreadsheets or Japan’s tax code.Design and build systems that leverage state-of-the-art LLMs from multiple model providers, including custom models.  Work across the stack and with our legal team to create seamless multi-step AI workflows for complex legal tasks, like corporate merger due diligence.What You Have5+ years of experience (post-BS/MS) in an engineering role.Experience with shipping a scaled and impactful product powered by machine learning: how to use offline datasets, online experiments, and recent research to build simple and high performance systems. Prior experience with LLMs and retrieval pipelines is not required.Track record of shipping reliable products and a strong attention to detail.Experience building backend platforms that can support multiple product lines.Grit - experience working at early-stage startups is a plus.Compensation Range$200,000 - $260,000 USDPlease find our CA applicant privacy notice here.#LI-BB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability.The opportunityAs a Software Engineer in the Robotics and Automation group at Radical AI, you will design and deploy systems to automate our material science research and discovery laboratory.  You will specialize in robotics, automation, and perception software development.   Your experience and vision will shape both the physical and systematic implementation of lab automation. You will collaborate closely with Mechatronics, Mechanical Engineering and Material Scientists to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. MissionArchitect and develop software systems that control and orchestrate  robotic workcells for autonomous materials experimentationDesign scalable control frameworks for flexible automation involving robots, motion systems, sensors, and lab instrumentsCollaborate with hardware, mechatronics, and science teams to translate experimental workflows into reliable automated processesBuild and maintain APIs and services for scheduling, execution, monitoring, and data captureDevelop simulation, testing, and validation tools to accelerate development and ensure system reliabilityIntegrate 2D and 3D vision systems (cameras, lighting, depth sensors) with robotic manipulation, motion planning, and executionOptimize system performance, robustness, and throughput under rapid iteration cyclesContribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stackMentor junior engineers and help establish engineering standards in a fast-growing organizationBring an attitude of collaboration and open-mindedness, to facilitate fearless and creative problem solving skills that empowers our team to ship world class technology at an unprecedented speed.About youBachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related fieldFour+ years of professional software engineering experience, with significant work in robotics or automation systemsStrong proficiency in modern programming languages such as Python and C++Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems)Experience with physical simulation environments (e.g. MuJoCo, IsaacSim), and hardware-in-the-loop testingSolid understanding of motion planning, state machines, real-time or near-real-time control systemsExperience integrating hardware systems including robots, sensors, vision systems, and industrial equipmentAbility to work independently in a hands-on, development-oriented environment.Strong communication skills and ability to collaborate across engineering and scientific disciplines.PlusesExperience deploying autonomous systems in laboratory, manufacturing, or industrial environmentsExperience deploying autonomous mobile robots and working with simultaneous localization and mapping (SLAM)Experience with reinforcement learning and computer vision applied to roboticsFamiliarity with machine learning applied to robotics, experimentation, or optimizationPrior startup experience or ownership of systems from early prototype through productionWhat we offerA competitive compensation package also includes the best in benefits.Medical, dental, and vision insurance for you and your familyMental health and wellness support14+ company holidays per year401KWork closely with a team on the cutting edge of AI research.A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.Salary Description Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.