About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As the Robotics 3D Printing Lab Technician, you will own the day-to-day operation of our additive manufacturing lab and help enable rapid hardware iteration across the robotics organization. You’ll manage and maintain a fleet of 3D printers, develop workflows for engineers to submit and track builds, and ensure high-quality prototype parts are delivered quickly and reliably. You will partner closely with mechanical, electrical, and prototype engineering teams to support fast-paced robotics development. Beyond additive manufacturing, you will also contribute as a hands-on prototype technician supporting builds, rework, subsystem integration, and general lab operations across robotic systems. This role is based in San Francisco, CA, and requires in-person presence 5 days a week. In this role, you will: Lead operation, maintenance, and calibration of a fleet of 3D printers supporting robotics prototyping efforts Develop and maintain workflows for print submission, prioritization, tracking, and delivery across engineering teams Prepare, process, and optimize print jobs across a variety of additive manufacturing technologies and materials Perform post-processing operations including support removal, finishing, bonding, machining, dyeing, and assembly preparation Inspect completed parts for dimensional accuracy, cosmetic quality, and print integrity before delivery to engineers Partner with engineering teams to provide guidance on material selection, print orientation, tolerancing, and manufacturability Manage inventory of printing materials, consumables, spare parts, and maintenance supplies to ensure high printer uptime Support rapid prototyping workflows by assisting with mechanical builds, subsystem integration, and general prototype technician work Troubleshoot machine, process, and print quality issues across additive manufacturing workflows Help maintain a clean, organized, safe, and highly functional prototyping environment You might thrive in this role if you: Have deep hands-on experience with additive manufacturing systems and enjoy building reliable workflows around physical hardware Are highly organized and comfortable managing many concurrent prototype requests in fast-paced environments Understand tradeoffs between different printing technologies, materials, tolerances, and post-processing methods Enjoy hands-on technical work and are comfortable supporting a broad range of prototype and build activities Maintain a high bar for craftsmanship, lab discipline, and part quality Preferred qualifications: 4+ years of experience operating additive manufacturing systems in prototyping, robotics, product development, or manufacturing environments Experience with a variety of 3D printing technologies such as FDM, SLA, SLS, MJF, or PolyJet Familiarity with additive manufacturing materials, post-processing methods, and prototype finishing techniques Experience supporting hardware engineering teams in fast-paced development environments Familiarity with general electromechanical assembly, prototype builds, or robotics hardware systems About OpenAI OpenAI 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 Policy At 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. Compensation $250K – $295K + Offers Equity

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for engineers who can help us advance the way people connect globally. If you're interested in joining a team and working on exciting projects that have a significant impact, we encourage you to apply. Software Engineer, Machine Learning RecSys Responsibilities Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences Implement custom user interfaces using latest programming techniques and technologies Develop reusable software components for interfacing with back-end platforms Analyze and optimize code for quality, efficiency, and performance Lead complex technical or product efforts and provide technical guidance to peers Architect efficient and scalable systems that drive complex applications Identify and resolve performance and scalability issues Work on a variety of coding languages and technologies Establish ownership of components, features, or systems with expert end-to-end understanding Minimum Qualifications 3+ years of experience in software engineering or a relevant field. 2+ years of experience if you have a PhD 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or a related technical field Experience with scripting languages such as Python, Javascript or Hack Experience with developing machine learning models at scale from inception to business impact Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale) Experience building and shipping high quality work and achieving high reliability Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with scripting languages such as Pytorch and TensorFlow Exposure to architectural patterns of large scale software applications Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments Master's degree or PhD in Computer Science or another ML-related field

The Siri team is redefining how hundreds of millions of people access information across Apple devices, with privacy built in from the ground up. As part of the Agentic Search Evaluation team, you will help advance Apple Intelligence through personalized search, result ranking, and low-latency production services that power experiences across Siri, Spotlight, Safari, Messages, and more. Your team researches and builds deep search systems for Personal Question Answering, enabling Siri to answer questions about a user's emails, messages, events, files, and more while keeping personal data private. We are looking for a Machine Learning Engineering Manager with a passion for building scalable, high-quality solutions to evaluate personalized search applications. In this role, you will directly shape how personalized search quality is assessed and improved by driving solutions across search quality, data quality, and both offline and online evaluation metrics. You will lead a team focused on evaluating personalized AI search experiences while designing evaluation systems, developing data generation and curation methods, and creating quality metrics frameworks for continuous improvement. Responsibilities Lead a team of applied machine learning and software engineers to design and build scalable, automated systems for end-to-end evaluation of personalized search. Design and implement offline and online metrics to assess quality at both the product and component levels, driving continuous improvement. Collaborate with cross-functional teams to define data and evaluation requirements, establish priorities, and identify opportunities to improve search quality. Define the long-term technical vision for personalized search quality, identify gaps, and drive solutions aligned with the broader product roadmap. Minimum Qualifications 6+ years of industry experience building machine learning or machine learning evaluation systems at scale. 2+ years of technical leadership or engineering management experience. Strong knowledge of machine learning fundamentals, neural network architectures, and software engineering using Python or C/C++. Excellent communication and collaboration skills. Bachelor's degree in Computer Science, Engineering, Statistics, or a related field. Preferred Qualifications Experience designing and building production machine learning systems for search, natural language processing, recommendation systems, or information retrieval. Experience in data collection, data generation, or data quality assessment involving language, image, or multimodal data. Master's degree or Ph.D. in Computer Science, Engineering, Statistics, or a related field, or equivalent industry experience. Compensation & Benefits Base pay is determined based on skills, qualifications, experience, and location. Base Salary Range: $206,200 – $356,400 USD Eligible employees may also receive: Employee stock purchase and ownership programs. Restricted stock unit (RSU) awards. Comprehensive medical and dental coverage. Retirement benefits. Employee discounts on products and services. Education assistance and tuition reimbursement for eligible programs. Performance bonuses or commission opportunities where applicable. Relocation assistance for eligible positions. Benefits and compensation are subject to eligibility requirements and applicable company policies. Equal Opportunity Employer We are committed to creating an inclusive workplace where employment decisions are based on qualifications, merit, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. Accessibility We are committed to providing an accessible workplace and recruitment process. Reasonable accommodations are available for qualified applicants throughout the hiring process and employment in accordance with applicable laws.

We are looking for an outstanding Engineering Program Manager to deliver next-generation sensing software technologies for health and fitness applications. From machine learning to artificial intelligence, you will be working at the cutting edge of custom hardware, data, and software capabilities to deliver world-class experiences. We are looking for Program Managers who can thrive in a dynamic workplace where both individual drive and team collaboration are the keys to success. You have experience in product development and program, project, or product management, proven leadership capabilities, excellent communication skills, and a passion for shipping new technologies. Responsibilities Drive large, cross-functional efforts to build technologies across multiple engineering teams. Develop strong relationships and trust across system and module hardware and software teams. Drive feature definition, implementation, and testing while working closely with algorithm, software engineering, embedded firmware, hardware, and testing teams. Ensure effective inter-team coordination and communication throughout the development process. Create and maintain development schedules, identify critical paths, and manage execution timelines. Understand complex technical topics, identify project risks, and develop mitigation strategies. Synthesize large amounts of technical data into clear written and verbal analyses to support executive decision-making. Apply strong planning, leadership, and risk management practices to deliver successful products. Minimum Qualifications 1+ years of technical program or product management experience, or a leadership role in a large technical project. Knowledge of one or more of the following technologies: Embedded software Sensor systems Machine learning Computer vision Foundation models Natural Language Processing (NLP) Ability to dive into technical details. Excellent communication, presentation, organizational, and leadership skills. Ability to work with diverse teams and collaborate, influence, and negotiate effectively across all levels of management. Self-motivated, proactive, and able to perform well in a fast-paced environment while remaining calm and adaptable. Regularly incorporates generative AI tools into daily program management work as a standard practice. Bachelor's degree or higher in Engineering or a related technical discipline. Preferred Qualifications 5+ years of technical program management experience in consumer-facing product development. Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a PhD in a technical discipline. Background in medical devices, coaching, or fitness. Direct experience shipping or supporting GenAI or LLM-powered consumer features. Compensation & Benefits Base pay is determined based on skills, qualifications, experience, and location. Base Salary Range: $144,600 – $263,800 USD Eligible employees may also receive: Employee stock purchase and ownership programs. Restricted stock unit (RSU) awards. Comprehensive medical and dental coverage. Retirement benefits. Employee discounts on products and services. Education assistance and tuition reimbursement for eligible programs. Performance bonuses or commission opportunities where applicable. Relocation assistance for eligible positions. Benefits and compensation are subject to eligibility requirements and applicable company policies.

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We believe this requires real-world deployment, continuous learning, and rapid iteration to improve both safety and utility. The Intelligence & Investigations team supports this mission by identifying, investigating, and disrupting malicious uses of OpenAI products. We work at the intersection of investigations, analytics, policy, engineering, and trust & safety to understand emerging threats, develop scalable detection strategies, and improve platform defenses. Our team combines investigative expertise with technical analysis to uncover novel abuse patterns, inform product and policy decisions, and help build durable safeguards across OpenAI’s products. About the Role As an Abuse Investigator on the Intelligence & Investigations team, you will investigate harmful activity on OpenAI’s platform with a particular focus on violent threats, coordinated abuse, and other high-risk threats to public safety. You will analyze complex datasets, identify abuse signals, conduct investigations, and partner closely with policy, legal, engineering, and integrity teams to drive enforcement actions and improve detection capabilities. This role is highly analytical and requires strong technical and investigation skills. Successful candidates are comfortable working directly with large datasets, using SQL to uncover patterns and trends, and leveraging Python or other tools like Codex to automate workflows, analyze data, and support investigations at scale. You will be expected to combine investigative judgment with data-driven analysis to identify emerging threats and develop proactive mitigation strategies. The role is based in New York City and follows a hybrid in office work model. Investigations may involve sensitive content, including violent, extremist, sexual, or child safety-related material. Candidates should be comfortable operating in high-stakes environments and managing time-sensitive escalations. In This Role, You Will Investigate reports, leads, and escalations involving violent threats, coordinated abuse, and other threats to public safety. Use SQL and Codex to query large datasets, analyze user behavior, identify suspicious activity, and uncover novel abuse patterns. Utilize Python and Codex to automate investigative workflows, process and analyze data, develop abuse detection methodologies, and improve operational efficiency. Develop and refine abuse signals, behavioral indicators, and tracking methodologies that enable scalable detection and enforcement. Partner closely with engineering teams to design and improve internal tooling, data pipelines, reporting capabilities, and investigations. Use metrics to evaluate automated workflow efficiency. Conduct rapid triage and investigation of urgent escalations, exercising sound judgment in ambiguous situations. Communicate investigative findings and recommendations to stakeholders across Policy, Legal, Product, Engineering, and Leadership teams. Translate investigative insights into long-term product, policy, and safety improvements. Contribute to an on-call rotation supporting time-sensitive investigations and threat assessments. You Might Thrive in This Role If You Have 5+ years of experience conducting investigations involving violent actors, terrorism-related activity, trust & safety, law enforcement investigations, intelligence analysis, or related fields (ideally with a public safety component) Possess strong SQL skills and experience using data analysis to support investigations, identify trends, and answer complex investigative questions. Have practical experience using Python for data analysis, workflow automation, investigative tooling, or operational analytics. Have experience developing scalable processes, detection methodologies, or automated approaches to investigations. Can independently work through complex problems and clearly communicate findings and recommendations. Have experience collaborating with technical and non-technical stakeholders in fast-moving environments. Have experience presenting analytical findings through reports, briefings, dashboards, or executive-level communications. Have worked in technology, trust & safety, cybersecurity, intelligence, law enforcement, fraud, risk, or investigative environments. Enjoy training and/or mentoring others on technical tooling and workflows. Preferred Qualifications Experience conducting investigations involving violent threats, online abuse, extremist activity, or other threat actor behavior. Familiarity with data analytics tools and investigative methodologies used in technology, intelligence, or trust & safety environments. Experience partnering with engineering teams to improve detection systems, data quality, or investigative tooling. Understanding of emerging risks associated with AI systems, online platforms, and adversarial actors. Experience developing data-driven approaches to abuse detection and mitigation. At OpenAI, you’ll help protect millions of users by combining investigative expertise, analytical rigor, and technical problem-solving to identify and mitigate some of the most challenging abuse and safety issues facing AI systems today. About OpenAI OpenAI 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 Policy At 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. Compensation $288K – $425K + Offers Equity