Research Engineer/Scientist - Generative UI for Consumer Devices

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.

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.

About the Role OpenAI is hiring a Software Engineer for the Engineering Acceleration team, working on Consumer Devices in San Francisco. This team builds and improves products that shape how people use technology in daily life. The role involves developing new features and strengthening existing systems for consumer-facing devices.

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.

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.

About UsAt Latent Labs, we are at the forefront of developing advanced models that delve into the core principles of biology. Our ambitious pursuits are driven by curiosity and a steadfast commitment to scientific excellence. The team behind Latent Labs previously co-developed DeepMind's Nobel Prize-winning AlphaFold, pioneered latent diffusion technology, and created groundbreaking laboratory data management systems alongside high-throughput protein screening platforms. By joining us, you will collaborate with some of the brightest minds in the fields of generative AI and biology.We believe in fostering interdisciplinary collaboration, continuous learning, and teamwork. Our team offsites are designed to cultivate a culture of trust between our London and San Francisco locations.We're on the lookout for innovators who are passionate about solving complex challenges and making a positive global impact. Be part of our monumental mission!Your RoleWe are excited to invite a Research Scientist to join our team, working at the intersection of generative AI and biology. The ideal candidate will have a solid background in molecular biology, biochemistry, mammalian cell culture, and high-throughput screening techniques. You will collaborate with colleagues and work independently to develop and implement screening assays aimed at functionally testing and characterizing novel proteins generated through our proprietary models.This is a unique opportunity to contribute to an organization that advances artificial intelligence in addressing long-standing scientific challenges. A strong technical skill set, adaptability, organizational prowess, and exceptional communication abilities are essential, as is the capability to thrive both independently and as part of a dynamic, collaborative team.

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.

At Scale AI, we collaborate with leading AI laboratories to supply high-quality data and foster advancements in Generative AI research. We seek innovative Research Scientists and Research Engineers with a strong focus on post-training techniques for Large Language Models (LLMs), including Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and reward modeling. This position emphasizes optimizing data curation and evaluation processes to boost LLM performance across text and multimodal formats. In this pivotal role, you will pioneer new methods to enhance the alignment and generalization of extensive generative models. You will work closely with fellow researchers and engineers to establish best practices in data-driven AI development. Additionally, you will collaborate with top foundation model labs, providing critical technical and strategic insights for the evolution of next-generation generative AI models.

At Scale AI, we are at the forefront of artificial intelligence, driving innovation through our advanced data, infrastructure, and tooling that empower the most sophisticated models worldwide. Our teams thrive at the intersection of pioneering research, extensive engineering, and practical deployment, collaborating with leading labs, enterprises, and government entities to explore the vast potential of Generative AI. As AI technology evolves from static models to dynamic, intelligent systems, Scale AI is dedicated to establishing the essential research foundations, evaluation methodologies, and reinforcement learning infrastructure that will shape this transformative era. Join our high-impact research organization, where you will contribute to advancing large language models, post-training evaluation, and agent-based reinforcement learning environments, influencing the future of AI development and implementation. As the Research Scientist Manager, you will spearhead a distinguished team of research scientists and engineers, define the strategic research roadmap, and oversee projects from initial prototyping to final deployment. You will excel in a fast-paced environment, harmonizing deep technical leadership with effective people management, visionary goal setting, and successful delivery.

Join Canva as a Staff Research Scientist specializing in Video & Audio Generative AI. In this pivotal role, you will leverage your expertise in AI to develop innovative solutions that enhance our platform's multimedia capabilities. Collaborate with cross-functional teams to push the boundaries of AI technology, driving impactful projects that redefine user experiences.

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.

Genmo is a pioneering research laboratory dedicated to advancing cutting-edge models for video generation, with the mission of unlocking the creative potential of Artificial General Intelligence (AGI). We invite you to be a part of our innovative team, where you can contribute to shaping the future of AI and expanding the horizons of video generation technology.Role Overview:We are on the lookout for a talented Research Scientist to join our dynamic team, specializing in alignment and post-training methodologies for large-scale video generation models. In this pivotal role, you will be instrumental in ensuring our diffusion-based video models consistently deliver high-quality, physically accurate, and safe outputs that align with human values and preferences.Key Responsibilities:Lead groundbreaking research initiatives in alignment and post-training strategies for video generation models, prioritizing enhanced quality, reliability, and alignment with human intent.Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models.Establish robust evaluation frameworks to assess model alignment, safety, and output quality.Create and optimize data collection pipelines for capturing human feedback and preferences.Conduct experiments to validate alignment techniques and their scalability.Collaborate with cross-functional teams to incorporate alignment enhancements into our production workflow.Stay abreast of the latest developments by reviewing academic literature in generative AI and alignment.Mentor junior researchers and promote a culture of responsible AI development.Partner closely with product teams to ensure that alignment methods enhance model capabilities.Qualifications:Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.Demonstrated excellence with a strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) focusing on reinforcement learning, alignment, or generative models.Extensive experience in implementing and optimizing large-scale training pipelines utilizing PyTorch.In-depth understanding of reinforcement learning techniques, especially RLHF.Proficient in distributed training systems and conducting large-scale experiments.Proven ability to design and implement robust evaluation strategies for models.

About General MedicineGeneral Medicine is revolutionizing healthcare access through a user-friendly platform that ensures transparency in pricing and services. Our goal is to provide clear cash and insurance costs for medical consultations, prescriptions, laboratory tests, imaging, and more.Our innovation is underpinned by sophisticated infrastructure, including payer integrations, pricing algorithms, eligibility verification systems, and financial processes, all aimed at delivering simple, trustworthy, and engaging healthcare experiences.The RoleWe are seeking a Consumer Product Manager to lead the development of essential patient-facing features at General Medicine. This role encompasses everything from user onboarding and search functionalities to booking systems, pricing models, and follow-up processes. You will be responsible for defining our strategic direction, designing seamless user journeys, and launching refined features that enhance both virtual and in-person care experiences.Collaboration is key; you will work with a talented team of engineers and designers to simplify complex healthcare challenges. This is a hands-on position that requires you to write specifications, set performance metrics, analyze experiments, and work closely with engineering teams to shape the future of our products.We are looking for a candidate with a proven ability to deliver impactful consumer products, adept at translating vague challenges into straightforward solutions and leveraging data for continuous improvement. While extensive experience in healthcare is not mandatory, a solid understanding of product management, analytical skills, and a history of creating beloved user experiences are essential.

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 World Labs: At World Labs, we create foundational world models capable of perceiving, generating, reasoning, and interacting with the 3D environment. Our mission is to unlock the full potential of AI through spatial intelligence, transforming perception into action, reasoning into insight, and imagination into creation. We believe that spatial intelligence will revolutionize storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical realms. Our world-class team is driven by curiosity and passion, boasting diverse backgrounds in technology, from AI research and systems engineering to product design. This synergy fosters a tight feedback loop between our cutting-edge research and user-empowering products. Role Overview We are seeking an innovative Research Scientist specializing in generative modeling, especially diffusion models, to join our modeling team. This position is ideal for individuals with extensive expertise in applying diffusion models to images, videos, or 3D assets and scenes. While not mandatory, experience in any of the following areas will be considered a significant advantage: Large-scale model trainingResearch in 3D computer vision In this role, you will work closely with researchers, engineers, and product teams to translate advanced 3D modeling and machine learning techniques into practical applications, ensuring our technology stays at the forefront of visual innovation. This position entails substantial hands-on research and engineering work, taking projects from conception to production deployment. Key Responsibilities Design, implement, and train large-scale diffusion models for generating 3D worlds. Develop and experiment with large-scale diffusion models to introduce novel control signals, align with target aesthetic preferences, or optimize for efficient inference. Collaborate closely with research and product teams to comprehend and translate product requirements into actionable technical roadmaps. Contribute actively to all phases of model development, including data curation, experimentation, evaluation, and deployment. Continuously investigate and integrate the latest research in diffusion and generative AI. Serve as a key technical resource within the team, mentoring peers and promoting best practices in generative modeling and machine learning engineering.