Software Engineer, Engineering Acceleration | Consumer Devices

About Our TeamThe Future of Computing Research team is a dynamic applied research unit within the Consumer Devices group at OpenAI. We are dedicated to pioneering innovative methods, models, and evaluation frameworks that propel our vision for the future of computing. Our focus lies at the cutting edge of multimodal AI, transforming emerging model capabilities into product experiences that are not only functional and enjoyable but also foster long-term trust.Our research delves into a new generation of AI systems capable of learning and evolving over time, adapting to individual needs, and enhancing daily life. This includes exploring long-term memory, user modeling, and personalized systems aligned with broader human goals, values, and overall well-being.We collaborate closely across multiple disciplines—research, engineering, design, product management, and safety—to define what it means to build AI systems that recognize and respond to user needs in a contextually aware and respectful manner, ensuring demonstrable benefits.About the PositionWe are seeking a passionate Research Engineer/Scientist to join our Future of Computing Research team, focusing on Reinforcement Learning from Human Feedback (RLHF) and post-training techniques for personalized multimodal AI systems.In this role, you will be instrumental in establishing the learning and evaluation foundations necessary for models to become increasingly context-aware, adaptive, and useful over time. You will tackle challenges such as reward modeling, preference learning, long-horizon evaluation, and policy improvement for systems that are required to make high-quality behavioral decisions in real-world settings. Our success is measured not just by improved benchmark performance but by enhanced model behavior in actual use cases.The ideal candidate is enthusiastic about advancing beyond simplistic one-turn assistant interactions towards systems that learn and grow through feedback, utilizing richer signals and training against meaningful notions of user value. This requires a thoughtful approach to reward design, feedback mechanisms, and evaluation frameworks that assess the long-term benefits of interventions.This position is based in San Francisco, CA, with a hybrid work model of four days in the office each week. We also provide relocation assistance for new hires.Key Responsibilities:Develop RLHF and post-training strategies for multimodal models.Create reward models and preference-learning pipelines to foster adaptive, personalized model behavior.Engage in long-term evaluation and policy refinement to enhance user interactions.

Join Our TeamThe Future of Computing Research team is part of the Consumer Devices division at OpenAI, dedicated to pioneering innovative methods and models that align with our mission to develop AGI that benefits humanity as a whole.Your RoleAs a Research Engineer/Scientist on our team, you will collaborate with world-class ML researchers and exceptional design experts to expand the limits of model capabilities.This position is located in San Francisco, CA, following a hybrid work model with four days in the office each week. We provide relocation assistance for new hires.Responsibilities:Train and assess state-of-the-art models focusing on aspects crucial to our vision for future consumer devices.Overcome challenges to transform emerging research capabilities into practical solutions.Contribute to defining the software landscape for the future.Ideal Candidate:Possesses 5+ years of relevant experience.Has a strong research background in training language models for UI generation and evaluating the effectiveness of generated UIs.Enjoys cross-disciplinary collaboration across a diverse research landscape.Conducts rigorous scientific investigations to ensure confidence in experimental outcomes.Has hands-on experience in training models for language comprehension and perception.About OpenAIOpenAI is an AI research and deployment organization committed to ensuring that artificial general intelligence is developed in a manner that is safe and beneficial for all of humanity. We strive to push the limits of AI capabilities while prioritizing safety and addressing human needs. Our mission is to incorporate a wide array of perspectives, voices, and experiences to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, valuing diversity and inclusion in our workplace.

Join Our Innovative TeamAt OpenAI, our Alignment team is committed to building AI systems that prioritize safety, trustworthiness, and alignment with human values, even as these systems evolve and grow in complexity. We are at the forefront of AI research, developing advanced methodologies to ensure that AI adheres to human intent across diverse scenarios, including high-stakes and adversarial environments. Our focus is on tackling the most critical challenges, addressing areas where AI can have profound impacts. By quantifying risks and making meaningful improvements, we aim to prepare our models for the complexities of real-world applications.Our approach is built on two foundational pillars: (1) integrating enhanced capabilities into alignment, ensuring our techniques evolve positively with increasing capabilities, and (2) centering human input through the development of mechanisms that allow humans to communicate their intent and effectively monitor AI systems, even in intricate situations.Your Role in Shaping the FutureAs a Research Engineer / Scientist on our Alignment team, you will play a pivotal role in ensuring our AI systems align with human intent in complex and unpredictable contexts. Your responsibilities will include designing and implementing scalable solutions that maintain alignment as AI capabilities expand, while incorporating human oversight into AI decision-making processes.This position is based in San Francisco, CA, and follows a hybrid work model of three days in the office each week. We also offer relocation assistance to new team members.Key Responsibilities:Develop and assess alignment capabilities that are context-sensitive, subjective, and challenging to quantify.Create evaluations to accurately measure risks and alignment with human values and intentions.Construct tools and evaluations to examine model robustness across various scenarios.Design experiments to explore how alignment scales with compute resources, data, context lengths, actions, and adversarial influences.Innovate new Human-AI interaction frameworks and scalable supervision methods that enhance human engagement and understanding of AI systems.

About AnthropicAt Anthropic, we are driven by our mission to develop reliable, interpretable, and steerable AI systems. Our commitment is to ensure that AI is safe and beneficial not only for our users but also for society as a whole. Our rapidly expanding team comprises dedicated researchers, engineers, policy specialists, and business leaders collaborating to create impactful AI technologies.About the Role:As a Research Engineer focusing on Alignment Science, you will design and execute sophisticated machine learning experiments aimed at understanding and guiding the behavior of advanced AI systems. Your passion lies in making AI systems helpful, honest, and safe, particularly in the face of challenges posed by human-level capabilities. You embody both the scientific and engineering mindsets. In this role, you will engage in exploratory research on AI safety, concentrating on risks associated with future powerful systems (such as those classified as ASL-3 or ASL-4 under our Responsible Scaling Policy), often working in collaboration with teams focused on Interpretability, Fine-Tuning, and the Frontier Red Team. Discover more about our current research topics and insights on our blog, as we delve into pressing issues such as:Scalable Oversight: Innovating techniques to ensure that highly capable models remain helpful and truthful, even as they exceed human-level intelligence.AI Control: Developing strategies to maintain the safety and harmlessness of advanced AI systems in novel or adversarial environments.Alignment Stress Testing: Implementing rigorous testing frameworks to evaluate AI alignment under various conditions.

Team focus The Alignment Science team at OpenAI works on intent alignment for artificial intelligence. Their goal is to develop models that accurately interpret and follow user requests, while maintaining high standards for safety and transparency. As AI models become more advanced, the team prioritizes keeping them honest about their capabilities and limitations, ensuring close alignment with user intent. Research spans both theoretical and applied domains. The team shares findings publicly and integrates new alignment techniques into OpenAI's deployed models. Recent efforts have targeted model honesty, studying how models admit mistakes, avoid generating false information, and resist manipulation. The team is looking for scalable solutions to improve instruction following and reliability in AI systems. Quantitative research is a core part of this work, especially reinforcement learning and related training and evaluation methods that support safer, more reliable AI interactions. Role overview This Researcher in Alignment Science position (which may be titled Research Engineer or Research Scientist) centers on designing and running experiments to improve how models follow user intent. Responsibilities include developing training protocols, building evaluation frameworks, and strengthening research infrastructure to support effective alignment in new models. The job is based in San Francisco, CA, with a hybrid schedule requiring three days per week in the office. OpenAI provides relocation support for new hires. Exceptional remote candidates who can work independently and collaborate closely with the team will also be considered. Main responsibilities Design and conduct experiments on alignment techniques, including intent following, honesty, calibration, and robustness. Train and assess models using reinforcement learning and other empirical machine learning approaches. Develop evaluation metrics for failure modes such as hallucination, compliance gaps, reward exploitation, and covert actions. Investigate methods to encourage models to self-verify and report limitations honestly, including confession-style training objectives. Create monitoring tools and interventions at inference time to help models act as intended.

About the TeamJoin the dynamic Consumer Devices team at OpenAI, where we revolutionize the integration of AI into tangible products. Our team is at the forefront of innovation, developing comprehensive hardware and software systems that merge custom silicon, embedded solutions, operating systems, and cloud technologies to create scalable, reliable devices ready for production.About the RoleWe are in search of a passionate Operating Systems Engineer to fortify the operating system foundations for OpenAI's groundbreaking products. This role is ideal for seasoned developers who excel at creating foundational platform software and tackling complex challenges related to security, privacy, performance, power efficiency, and reliability. Your expertise will span the OS kernel, core services, security and privacy frameworks, performance optimization, and the integration of applications and user interfaces with the system. This position emphasizes in-depth debugging and accountability throughout the development cycle.Collaboration will be essential as you work closely with teams from embedded systems, firmware, hardware, applications, and product engineering. Familiarity with hardware bring-up is advantageous but not mandatory.What You Will DoContribute to comprehensive OS functionalities, including kernel, userspace services, application frameworks, UI toolkits, and APIs.Develop, integrate, and sustain OS components, which encompass scheduling, memory management, filesystems, drivers, IPC/RPC, and security-related subsystems.Build and manage core OS services and daemons such as service management, device discovery, networking, time management, logging, update hooks, and crash handling.Design and implement robust security and privacy mechanisms:Integrate secure boot and measured boot processes as applicable.Implement mandatory access controls and sandboxing.Manage secrets, secure storage, key handling, and design systems with least-privilege principles.Develop privacy-preserving telemetry and user-consent-driven system behaviors.Establish a performance and power management discipline:Conduct instrumentation, profiling, and regression detection for boot time, latency, throughput, and memory usage.Implement workflows for power measurement, battery and thermal-aware tuning, and strategies to prevent energy regression.

About the Role OpenAI is hiring a Software Engineer to work on Infrastructure for Consumer Devices in San Francisco. This position centers on building scalable systems that support and improve the experience of users interacting with AI-powered devices. What You Will Do Design and develop infrastructure for consumer-facing devices Work on systems that directly impact how users interact with AI technology Apply technical expertise to create solutions that scale as usage grows

Role overview OpenAI seeks a Graphics Software Engineer to influence the graphics features of its consumer devices. The position focuses on developing and refining graphics algorithms that enhance the experience for users of new hardware products. What you will do Create and implement graphics algorithms tailored for consumer hardware. Collaborate with engineering teams to add graphics features that improve product usability and engagement. Use expertise in software development and graphics programming to address complex technical problems. Location This role is based in San Francisco.

Join Anthropic as a Senior Research Scientist on our Reward Models team, where you will spearhead groundbreaking research aimed at enhancing our understanding of human preferences at scale. Your innovative contributions will directly influence how our AI models, including Claude, align with human values and optimize for user needs. You will delve into the forefront of reward modeling for large language models, designing novel architectures and training methodologies for Reinforcement Learning from Human Feedback (RLHF). Your research will explore advanced evaluation techniques, including rubric-based grading, and tackle challenges such as reward hacking. Collaboration is key, as you'll work alongside teams in Finetuning, Alignment Science, and our broader research organization to ensure your findings result in tangible advancements in AI capabilities and safety. This role offers you an opportunity to address critical AI alignment challenges, leveraging cutting-edge models and substantial computational resources to further the science of safe and capable AI systems.

About the TeamJoin the innovative Post-Training team at OpenAI, where we focus on refining and elevating pre-trained models for deployment in ChatGPT, our API, and future products. Collaborating closely with various research and product teams, we conduct crucial research that prepares our models for real-world deployment to millions of users, ensuring they are safe, efficient, and reliable.About the RoleAs a Research Engineer / Scientist, you will spearhead the research and development of enhancements to our models. Our work intersects reinforcement learning and product development, aiming to create cutting-edge solutions.We seek passionate individuals with robust machine learning engineering skills and research experience, particularly with innovative and powerful models. The ideal candidate will be driven by a commitment to product-oriented research.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days in the office each week. Relocation assistance is available for new employees.In this role, you will:Lead and execute a research agenda aimed at enhancing model capabilities and performance.Work collaboratively with research and product teams to empower customers to optimize their models.Develop robust evaluation frameworks to monitor and assess modeling advancements.Design, implement, test, and debug code across our research stack.You may excel in this role if you:Possess a deep understanding of machine learning and its applications.Have experience with relevant models and methodologies for evaluating model improvements.Are adept at navigating large ML codebases for debugging purposes.Thrive in a fast-paced and technically intricate environment.About OpenAIOpenAI is a pioneering AI research and deployment organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We are committed to pushing the boundaries of AI capabilities while prioritizing safety and human-centric values in our products. Our mission is to embrace diverse perspectives, voices, and experiences that represent the full spectrum of humanity, as we strive for a future where AI is a powerful ally for everyone.

About Our TeamJoin the forefront of AI innovation with the RL and Reasoning team at OpenAI. Our team is dedicated to advancing reinforcement learning research and has pioneered transformative projects, including o1 and o3. We are committed to pushing the limits of generative models while ensuring their scalable deployment.About the RoleAs a Research Engineer/Research Scientist at OpenAI, you will play a pivotal role in enhancing AI alignment and capabilities through state-of-the-art reinforcement learning techniques. Your contributions will be essential in training intelligent, aligned, and versatile agents that power various AI models.We seek individuals with a solid foundation in reinforcement learning research, agile coding skills, and a passion for rapid iteration.This position is located in San Francisco, CA, and follows a hybrid work model of three days in the office per week. We also provide relocation assistance for new hires.You may excel in this role if:You are enthusiastic about being at the cutting edge of RL and language model research.You take initiative, owning ideas and driving them to fruition.You value principled methodologies, conducting simple experiments in controlled environments to draw trustworthy conclusions.You thrive in a fast-paced, complex technical environment where rapid iteration is essential.You are adept at navigating extensive ML codebases to troubleshoot and enhance them.You possess a profound understanding of machine learning and its applications.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good for humanity. We strive to push the boundaries of AI system capabilities while prioritizing safe deployment through our innovative products. We recognize AI as a powerful tool that must be developed with safety and human-centric principles, embracing diverse perspectives to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.

Join Our Innovative TeamThe Consumer Products Research team at OpenAI is on the cutting edge of applied research, dedicated to pioneering new methodologies and models that align with our ambitious vision for the future of computing. Our mission is to build Artificial General Intelligence (AGI) that serves the greater good of humanity.About This OpportunityAs a Senior Research Engineer/Scientist within our Consumer Products Research team, you'll collaborate with world-renowned machine learning researchers and top-tier design talent to explore and expand the boundaries of model capabilities.This position is located in San Francisco, CA, and operates on a hybrid work model, requiring 4 days in the office. Relocation assistance is available for qualified candidates.Key Responsibilities:Train and evaluate state-of-the-art multimodal models, focusing on areas pivotal to our vision for future devices.Innovate novel architectures that enhance model performance when scaling is not feasible.Transform emerging research capabilities into robust solutions that can be readily utilized in product development.Ideal Candidate Profile:Possess a solid research background in adapting transformers for environments with limited computational resources compared to standard GPUs.Have a passion for performance optimization and a willingness to collaborate with GPU kernel engineers (prior CUDA experience is not required).Conduct rigorous scientific research, relying on data-driven insights to expedite our experimental processes.Demonstrate experience in training models for language processing and perception tasks.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence is developed to benefit all of humanity. We challenge the limits of AI capabilities and strive to deploy them safely through our innovative products. Our approach emphasizes safety and human-centric design, ensuring that diverse perspectives and experiences are integral to our mission.As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.

About Our TeamJoin the Foundations Research team, where we tackle ambitious and innovative projects that could redefine the future of AI. Our mission is to enhance the science behind our training and scaling initiatives, focusing on pioneering frontier models. We are dedicated to advancing data utilization, scaling methodologies, optimization strategies, model architectures, and efficiency enhancements to accelerate our scientific breakthroughs.About the PositionWe are on the lookout for a dynamic technical research lead to spearhead our embeddings-focused retrieval initiatives. You will oversee a talented team of research scientists and engineers committed to developing foundational technologies that enable models to access and utilize the right information precisely when needed. This includes crafting innovative embedding training objectives, architecting scalable vector storage, and implementing adaptive indexing techniques.This pivotal role will contribute to various OpenAI products and internal research initiatives, offering opportunities for scientific publication and significant technical influence.This position is located in San Francisco, CA, where we embrace a hybrid work model, requiring three days in the office weekly, and we provide relocation assistance for new hires.Your ResponsibilitiesLead cutting-edge research on embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning.Supervise a team of researchers and engineers in building an end-to-end infrastructure for training, evaluating, and integrating embeddings into advanced models.Drive advancements in dense, sparse, and hybrid representation techniques, metric learning, and retrieval systems.Work collaboratively with Pretraining, Inference, and other Research teams to seamlessly integrate retrieval throughout the model lifecycle.Contribute to OpenAI's ambitious vision of developing AI systems with robust memory and knowledge access capabilities rooted in learned representations.You Will Excel in This Role If You PossessA proven track record of leading high-performance teams of researchers or engineers within ML infrastructure or foundational research.In-depth technical knowledge in representation learning, embedding models, or vector retrieval systems.Familiarity with transformer-based large language models and their interaction with embedding spaces and objectives.Research experience in areas such as contrastive learning and retrieval-augmented generation.

Join OpenAI as a Research Scientist and explore cutting-edge machine learning innovations. In this role, you will be at the forefront of developing groundbreaking techniques while advancing our team's research initiatives. Collaborate with talented peers across various teams to discover transformative ideas that scale effectively. We seek individuals who are passionate about pushing the boundaries of AI and want to contribute to our unified research vision.

Join Reddit's expanding Data Science Team as a Senior Data Scientist, where you will collaborate with diverse teams across Product, Engineering, Design, Marketing, and Business Development. Your role will be pivotal in shaping the product strategy and driving user engagement through advanced data analyses, experimentation, and strategic insights. You will lead initiatives that enhance Reddit's core product areas, such as Consumer, Ads, and Safety, ensuring data-driven decisions are made to foster growth and innovation. Your expertise will guide our experimentation practices and facilitate impactful communication of insights to stakeholders at all levels, including C-suite executives.

Join Reddit as a Senior Data Scientist in our Consumer Insights team, where you will leverage data to shape the future of community engagement. In this pivotal role, you will identify new opportunities for user growth, enhance engagement strategies, and drive retention through data-driven insights. You will conduct exploratory analyses, guide product strategy, and spearhead innovative experiments, all while collaborating closely with cross-functional teams. Your contributions will significantly impact how millions of users connect with the content and communities they care about.

About Our TeamAt OpenAI, we are dedicated to ensuring that artificial general intelligence (AGI) serves and benefits all of humanity. A vital component of this mission involves developing models that genuinely understand and resonate with human preferences. Our Human Data team is instrumental in making this a reality.The Human Data engineering team is responsible for creating sophisticated systems that facilitate scalable and high-quality human feedback, which is crucial for training and refining OpenAI's most advanced models. Our engineers work in close collaboration with top-tier researchers to implement alignment techniques—from initial experimental concepts to production-ready feedback loops.Position OverviewWe are seeking passionate software engineers to become part of the Human Data team, tasked with developing the platforms, prototypes, tools, and infrastructure essential for training, aligning, and evaluating our AI models. In this role, you will collaborate with researchers and cross-functional teams to actualize alignment concepts, influence the training of future models, and enhance how our models engage with the real world.We are looking for individuals who thrive on technical ownership, enjoy working across the stack, and are eager to tackle complex challenges in a dynamic, impactful environment.This position is based in San Francisco, CA, and follows a hybrid work model of three days in the office each week. We also provide relocation assistance for new hires.Your ResponsibilitiesDevelop and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines while ensuring high levels of security.Convert experimental alignment research into scalable production infrastructure, including inference and model training systems.Design and enhance user-facing tools and backend services to support high-quality data workflows.Collaborate with researchers, engineers, and program leads to refine feedback loops and model interaction strategies.Lead infrastructure improvements that promote faster iterations and scaling across OpenAI’s cutting-edge models, from internal research tools to production-level ChatGPT.QualificationsProven software engineering skills with experience in building scalable production systems.A strong preference for full-stack development with end-to-end ownership—from backend pipelines to user interfaces.Driven by high-impact projects and capable of navigating ambiguous challenges.

Merge Labs is an innovative research facility dedicated to merging biological sciences and artificial intelligence to enhance human capability, autonomy, and experience. Our mission is to pioneer revolutionary methodologies in brain-computer interfaces that facilitate high-bandwidth interactions with the brain, seamlessly integrate advanced AI, and maintain safety and accessibility for all users.About the TeamAt Merge, we are addressing some of the most ambitious challenges in molecular engineering, synthetic biology, and neuroscience. Our Research Platform Team is responsible for creating the experimental frameworks necessary to tackle these challenges with exceptional speed and precision. The tools and methodologies developed by our team significantly enhance molecular assembly, protein expression, mammalian cell culture, advanced microscopy, sequencing, and unique custom techniques. We collaborate with program teams to establish and optimize these capabilities, implement automation where beneficial, and integrate with our data science and machine learning pipelines, continuously pushing the boundaries of throughput and innovation.About the RoleAs a Platform Scientist, you will be instrumental in developing high-efficiency and high-throughput experimental pipelines that accelerate research initiatives. You will work closely with program leads, project scientists, data scientists, and engineers, leading your work and potentially recruiting additional team members as necessary.Key Responsibilities:Collaborate with program leads and scientists to identify critical experimental requirements and workflows.Develop processes to facilitate high-throughput and/or high-efficiency experiments, including reagent production and analysis.Scope, procure, construct, program, and validate instruments to support experimental workflows.Ensure the quality, reliability, and integrity of data generated from automated pipelines, including defining and implementing suitable quality control checkpoints.Work alongside data science and machine learning engineers to incorporate metadata tracking, computational design, and analysis into experimental pipelines.Partner with electrical, mechanical, and software engineers to create custom setups.Innovate and validate concepts to enhance experimental throughput.

OverviewBecome an integral part of our dynamic R&D team dedicated to developing fully automated research systems that push the boundaries of AI. Zochi has achieved a milestone by publishing the first entirely AI-generated A* conference paper. Locus has set a new industry standard as the first AI system to surpass human experts in AI R&D.Key ResponsibilitiesConceptualize and develop innovative architectures for automated research.Work collaboratively within a specialized team of researchers addressing cutting-edge challenges in long-horizon agentic capabilities, post-training for open-ended objectives, and environment crafting.Document and publish key internal findings alongside success stories from external collaborations.QualificationsPhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline. Outstanding candidates with significant research contributions are encouraged to apply, regardless of formal qualifications.Demonstrated history of impactful AI/ML research contributions in academic or corporate environments.Expertise in developing long-horizon, multi-agent systems and/or model post-training, especially in scientific domains or for open-ended discovery objectives.A strong passion for advancing problem-solving processes and scientific discovery, thriving in high-autonomy roles and environments.Our CultureCompetitive compensation and equity options.Unlimited Paid Time Off (PTO), emphasizing team collaboration and a community-focused workplace.Opportunities for conference participation and engagement in community initiatives.Empowered roles with high levels of responsibility.#1: We are a small, passionate team of leading investors, researchers, and industry experts committed to the mission of accelerating discovery. Join us.