Machine Learning Engineer – Integrity at OpenAI | San Francisco

About the Foundations Retrieval Team The Foundations Research group at OpenAI explores new approaches that could shape artificial intelligence for years to come. The team focuses on improving the science and data behind model training and scaling, especially for future advanced models. Areas of focus include data utilization, scaling laws, optimization strategies, model architectures, and efficiency improvements. Within Foundations, the Search team builds agentic search solutions. This group works closely with others to design interfaces between models and the core search stack, serving, indexing, and retrieval, so model intent leads to reliable, real-world results. The team develops large-scale systems to transform and index massive information sources, enabling models to reason over global knowledge. Close collaboration with researchers helps move new modeling ideas into production quickly, changing how intelligent systems discover and synthesize information at scale. Role Overview OpenAI is hiring a Software Engineer with expertise in retrieval system development and scalability for its San Francisco office. This role involves working with researchers and engineers to build infrastructure that lets models access the right information when needed. Responsibilities include designing and operating indexing systems, retrieval pipelines, and serving layers. Work in this role will directly improve retrieval capabilities across OpenAI’s research and products, with a strong influence on system performance, reliability, and scalability. What You’ll Do Develop and scale retrieval infrastructure, including indexing, serving, and query execution. Build low-latency, high-throughput systems for real-time model interactions. Work with research teams to bring embedding and retrieval methods into production. Support dense, sparse, and hybrid retrieval pipelines. Maintain system performance, reliability, and observability at scale. Collaborate with Pretraining, Inference, and Product teams to deliver end-to-end retrieval solutions. Help develop model-system interfaces for agentic workflows. Who We’re Looking For Experience building and scaling distributed systems. Background in developing high-performance, low-latency systems. Hands-on work with indexing and retrieval techniques. Familiarity with hybrid retrieval systems. Comfort working collaboratively across multiple teams.

About Our TeamJoin our dynamic Infrastructure organization at OpenAI, where we are actively seeking talented software engineers to bolster our efforts across several high-impact teams. With a variety of focus areas available—including Core Distributed Systems, Databases, Observability, and Cloud Infrastructure—you'll have the opportunity to work on projects that fascinate you. Our teams operate with a high level of autonomy and foster a deeply collaborative environment, all dedicated to enhancing safety, reliability, and operational velocity across the organization.About the RoleAs a Software Engineer focused on Infrastructure Reliability, you will play a pivotal role in scaling and fortifying the infrastructure that supports some of the world’s most widely utilized AI systems. Your work will ensure that our systems maintain high reliability, observability, performance, and security—enabling researchers to iterate rapidly and allowing products like ChatGPT and the OpenAI API to effectively serve millions of users.This hands-on, impactful role is perfect for engineers who enjoy ownership, excel at solving complex technical challenges across the entire stack, and wish to contribute to systems that facilitate cutting-edge research deployed on a global scale. You will significantly influence technical direction, enhance system resilience, and collaborate closely with infrastructure, product, and research teams to transform intricate infrastructure into dependable platforms.Key ResponsibilitiesDesign, construct, and maintain reliable, high-performance systems utilized across engineering.Identify and resolve performance bottlenecks and inefficiencies, ensuring our infrastructure scales appropriately.Investigate and troubleshoot complex issues thoroughly.Enhance automation to minimize manual tasks and improve internal developer tools.Participate in incident response, postmortem analysis, and the development of best practices surrounding system reliability and scalability.Ideal Candidate ProfilePossess a deep understanding of distributed systems principles, with a proven track record in developing and managing scalable, reliable systems.Demonstrate a strong focus on performance and optimization, with the ability to maximize efficiency in complex, globally distributed systems.Have experience managing orchestration systems such as Kubernetes at scale and creating abstractions over cloud platforms.Be comfortable working within Linux environments and possess strong problem-solving skills.

About the TeamThe Applied team is dedicated to responsibly introducing OpenAI's groundbreaking technology to the global community. We have launched revolutionary products like ChatGPT, Plugins, DALL·E, and APIs for GPT-5, embeddings, and fine-tuning. Additionally, we manage extensive inference infrastructure to support our rapidly advancing initiatives.Our clients leverage our APIs to create dynamic businesses with innovative product features previously thought impossible. For instance, ChatGPT exemplifies the capabilities our technology currently offers. We prioritize the responsible use of our powerful tools, ensuring that safety remains paramount over unrestricted growth.The Fraud Engineering team operates within the Applied Engineering organization, focusing on identifying and mitigating fraudulent activities on our platform. We are seeking a software engineer with expertise in anti-fraud and abuse systems to help us design and implement next-generation solutions.About the RoleThe Scaled Abuse team safeguards OpenAI’s products and users by detecting, preventing, and addressing fraudulent and abusive activities on a large scale. We develop and maintain backend and data systems that facilitate real-time detection, investigative workflows, and enforcement, ensuring a balance between robust protection and an excellent user experience as our platform evolves.Our work lies at the convergence of engineering and abuse prevention expertise. We collaborate closely with Trust & Safety, Security, and Product teams to identify emerging attack trends, translate complex signals into actionable system behavior, and continuously enhance our defenses. We value engineers who can navigate unfamiliar codebases swiftly, develop a deep understanding of system functionality, and suggest practical improvements to enhance overall resilience.In This Role, You Will:Design and develop systems for fraud detection and remediation, balancing fraud loss, implementation costs, and customer experience.Collaborate with finance, security, product, research, and trust & safety teams to effectively combat fraudulent and abusive behaviors on our platform.Stay updated with the latest techniques and tools to remain ahead of determined adversaries.Utilize GPT-5 and future models to enhance our fraud and abuse mitigation efforts.You May Thrive in This Role If You:Possess at least 5 years of software engineering experience, particularly in backend and data systems.

About Our TeamThe Applied Foundations team at OpenAI is at the forefront of safeguarding our innovative technology against diverse adversarial threats. Our primary mission is to ensure the integrity and security of our platforms as they grow.We are dedicated to defending against financial misuse, large-scale attacks, and other forms of exploitation that could compromise user experience or destabilize our operations. The Integrity Foundations team lays the groundwork and infrastructure to support this critical mission.About the RoleAt OpenAI, we aim to advance artificial intelligence in a manner that is safe, reliable, and aligned with broader societal values. The role of Software Engineer in Applied Foundations is vital for maintaining the dependability of our platforms. You will play a key role in developing strong defenses against a variety of adversarial behaviors that threaten our ecosystem.In this position, you will collaborate with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and mitigate risks across our platform. You will be at the forefront of our initiatives to responsibly and sustainably harness the vast potential of AI.Key Responsibilities:Design and enhance systems to identify and prevent various forms of abuse, including financial fraud, botting, and scripting.Work collaboratively with cross-functional teams to create solutions that defend against adversarial attacks while preserving an optimal user experience.Assist in responding to active incidents on the platform and develop new tools and infrastructure to address fundamental challenges.You will excel in this role if you:Possess a minimum of 3 years of professional experience in software engineering.Have experience in setting up and maintaining production backend services and data pipelines.Exhibit a humble attitude, a willingness to support colleagues, and a commitment to team success.Demonstrate self-direction and enjoy innovating solutions to complex problems.Take ownership of issues from start to finish and are eager to acquire any necessary knowledge to achieve your goals.Have a passion for AI safety in production environments and the skills to build effective software systems.

About the RoleJoin the Engineering Acceleration Delivery / Continuous Deployment team at OpenAI, where we develop and maintain systems designed to securely deploy OpenAI’s infrastructure and product code into production.Our team is responsible for the deployment platform, release pipelines, and safety mechanisms that empower engineers across OpenAI to make rapid changes while minimizing operational risks. Our goal is to streamline production deployments, enhancing speed, safety, and autonomy.This position is a unique opportunity to work at the convergence of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration.In This Role, You WillArchitect and implement continuous deployment infrastructure that efficiently manages changes across multiple Kubernetes clusters and global regions.Create systems for progressive delivery, incorporating techniques like canary releases, staged rollouts, and automated rollback processes.Enhance engineering velocity by reducing friction within the release pipeline and automating operational workflows.Collaborate with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale.Refine and adopt deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns.Develop systems that automatically assess deployment health through metrics, logs, traces, and alerts to identify regressions and initiate safe rollbacks.Create systems that facilitate agent-assisted or fully autonomous deployment workflows using cutting-edge AI tools.Technologies you will work with include:Kubernetes for large-scale container orchestration and runtime infrastructurePython and FastAPI for internal servicesTerraform for infrastructure as codeGitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems)Buildkite for CI orchestration

About the TeamJoin the Applied team at OpenAI, where we are dedicated to responsibly deploying groundbreaking technology. Our products, including ChatGPT, Sora, and the OpenAI API, are transforming industries by offering advanced capabilities such as GPT-5 and a robust suite of multimodal features spanning text, image, audio, and video. We manage extensive platform infrastructure and large-scale inference systems that cater to our global user base. As we continue to innovate, our influence in the tech world expands.Our clients are leveraging our APIs to fuel rapid business growth, unlocking previously unimaginable product functionalities. With offerings like ChatGPT and Sora, we showcase the potential of our technology across diverse media experiences. As we enhance these capabilities, we remain committed to ethical practices, prioritizing responsible deployment over unregulated expansion.As a member of the Applied Engineering team, the Ads Monetization group within Financial Engineering focuses on developing core systems that manage the financial aspects of ChatGPT Ads. These systems are designed for low-latency, high scale, and exceptional reliability, all while ensuring accuracy, auditability, and transparency in financial operations. This role integrates ad delivery, data engineering, and financial systems.Key Responsibilities:Design and implement the foundational monetization systems for ChatGPT Ads.Create and manage the core services and pipelines that facilitate ads monetization from event capture and validation to pricing, metering, and generating billable outputs.Establish and maintain the definitive source of truth for ads monetization data, including schemas, data models, and invariants to ensure consistency, transparency, and auditability.Oversee accuracy and reconciliation: align production outputs with invoicing and finance requirements, develop controls and monitoring systems, and address discrepancies through investigative efforts.Engage in full-stack development to create comprehensive billing solutions for our ChatGPT and API clients.Collaborate effectively with various stakeholders, including Ads Engineering, Data Science, Product, Finance, and Go-To-Market teams, as well as fellow engineers.Ideal Candidate Qualifications:At least 5 years of professional software engineering experience.Proficiency in designing scalable software systems with a focus on reliability and accuracy.Strong collaborative skills to work effectively in a cross-functional team environment.Experience with financial systems and data engineering principles is a plus.

Role Overview OpenAI Edu is hiring a Full Stack Software Engineer in San Francisco. This role centers on building educational tools and platforms, contributing to both the front end and back end of new products. What You Will Do Design and develop features across the stack, from user interfaces to server-side logic. Collaborate closely with engineers to deliver reliable, high-quality software. Apply knowledge of multiple programming languages and frameworks to support project needs. Troubleshoot and resolve technical issues to improve system performance and functionality. Location This position is based in San Francisco.

OpenAI is hiring a Field Engineer in San Francisco. This position centers on bringing advanced AI solutions into practical use across a range of industries. Role overview Field Engineers at OpenAI work directly with clients to implement AI technologies in real-world environments. The role involves hands-on problem solving and adapting solutions to meet client needs. Key responsibilities Collaborate with clients to understand technical requirements and goals Troubleshoot and resolve complex technical issues during deployment Support the rollout of new AI systems and ensure smooth integration Team and impact This role works closely with a group focused on bringing transformative technologies to market. Field Engineers contribute to both client success and the broader adoption of OpenAI’s products.

About the TeamThe IT Systems Operations team is crucial in connecting Security, Engineering, and Employee Technology platforms, ensuring that employee-facing systems, identity workflows, and enterprise applications operate smoothly and reliably as the organization grows.In addition to implementation, the team creates structured operating patterns that guarantee platform changes, access models, integrations, and lifecycle workflows evolve safely and consistently throughout the enterprise environment.About the RoleAs an IT Solutions Engineer, you will take ownership of identity-connected enterprise SaaS platforms and system change controls to uphold OpenAI’s compliance standards. Your responsibilities will include ensuring that production configurations, access models, and platform changes are compliant, auditable, and operated through defined controls. You will manage and operationalize controlled system and workflow changes across various identity platforms, SaaS applications, collaboration tools, and enterprise infrastructure.Collaboration with Security, Platform Engineering, and IT Support Operations is essential, as you will:Ensure consistent behavior of identity and access workflows across systemsImplement structured rollout and configuration practices for enterprise applicationsEnhance visibility and traceability of system changes affecting employee workflowsTranslate operational requirements into durable automation and policy-aligned implementationsSuccess in this position requires not only strong engineering skills but also sound operational judgment, meticulous documentation practices, and effective cross-functional collaboration.In this role, you will:Enterprise SaaS & Identity Platform OwnershipManage administration and operational stewardship of enterprise SaaS and identity-connected platforms, ensuring configuration integrity, access governance, and compliance with established control requirements.Oversee onboarding, access modification, and offboarding workflows aligned to standardized entitlement models.Guarantee reliable propagation of lifecycle events across downstream systems and maintain an accurate, auditable access state.

About Our TeamAt OpenAI, we are dedicated to extending the reach of our advanced AI technology through innovative products like ChatGPT and the OpenAI API. Our mission is to learn from deployment and share the benefits of AI, while prioritizing safety and responsible usage over unchecked growth.Role OverviewWe are on the lookout for a seasoned Research Engineer to spearhead efforts in retrieval and search across our API and ChatGPT platforms. As the AI landscape continues to evolve, retrieval and search capabilities have emerged as pivotal for our models. You will play a crucial role in developing search-based product experiences that will impact millions of users globally.In this position, your responsibilities will include:Collaborating closely with our research team to advance retrieval and search algorithms across various domains such as document search, enterprise search, knowledge retrieval, and web-scale search.Implementing these search methodologies into production for both the API and ChatGPT, enhancing user experiences for millions.Investigating cutting-edge research topics in retrieval and search to inform our product strategy for the future.Working together with researchers, engineers, product managers, and designers to introduce new features and innovations.Ideal Candidate ProfileYou will thrive in this role if you:Possess substantial experience in building and maintaining production-level machine learning systems.Have a background in working with vector databases, search indices, or other data storage solutions tailored for search and retrieval applications.Are proficient in developing and refining internet-scale search systems.Exhibit a strong sense of ownership over projects and are eager to acquire new skills to tackle challenges effectively.Demonstrate the ability to work swiftly in an environment with evolving parameters and competing priorities.

About the Applied Foundations Team The Applied Foundations group at OpenAI focuses on protecting our technology from adversarial threats as our platforms grow. This team builds the core infrastructure that helps prevent financial abuse, large-scale attacks, and other forms of misuse that could impact user experience or disrupt operations. Role Overview OpenAI aims to advance AI in a way that is safe, reliable, and aligned with society’s values. As a Full Stack Software Engineer on the Integrity Foundations team in San Francisco, you will help maintain the trustworthiness of our platforms. Your work will involve building defenses against adversarial behaviors and ensuring our ecosystem remains secure. This role collaborates closely with engineering and cross-functional partners to design and implement systems that detect and prevent abuse, enhance user safety, and reduce risks. You will help lead efforts to ensure AI is used responsibly and sustainably. What You Will Do Design APIs for internal workflows that interact with all layers of the stack, supporting informed data model decisions. Build and integrate tools that enable internal teams to investigate safety, abuse, and risk issues, with a focus on strong access controls, auditability, and operational rigor. Work with teams across the company to develop solutions that guard against adversarial attacks while maintaining a positive user experience. Help respond to live incidents on the platform and create new infrastructure to address underlying problems. What We Look For Interest in building high-quality internal tools and a genuine concern for end-users. At least 3 years of professional software engineering experience. Ability to collaborate effectively, including with partners outside engineering. Humility, sound judgment, and a drive for continuous improvement.

Join Us as Our First Marketing LeadFoundation is on the lookout for our inaugural marketing leader to propel our vision of revolutionizing homebuilding and enhancing the journey of buying, selling, and owning a home.About FoundationWith approximately $6.8M in backing from top-tier venture capitalists, including Y Combinator, Foundation is composed of a dynamic team formerly from Opendoor, dedicated to reshaping the future of residential real estate.Our flagship product is a cutting-edge customer experience platform designed specifically for homebuilders—think of it as the "Shopify for Homebuilders." We collaborate with large-scale homebuilders to deliver a modern digital experience, significantly boosting customer satisfaction and team productivity. In just two years, we've achieved remarkable product-market fit and impressive growth, all without a dedicated marketing team.Our Growth JourneyWe are currently navigating the first of three interconnected growth phases:AI-Driven SaaS for Homebuilding: A transformative opportunity with public-scale potential.Real Estate Enterprise Ecosystem: Homebuilders drive this ecosystem, which fosters collaboration among adjacent trillion-dollar sectors such as lending, title, home insurance, and retail.AI Native Home Operating System: This will enable seamless home buying and ownership through our platform.Your Role as Our First MarketerWe seek a hands-on, results-driven marketer passionate about transforming a key sector of the U.S. economy and redefining marketing in the age of AI.Key ResponsibilitiesYou will be pivotal in steering Foundation's next growth phases by integrating AI with marketing and real estate innovation. Your primary objectives will include:Accelerating Growth: Drive rapid expansion of our core AI-driven product line for homebuilders.

About Our TeamJoin the Compute team, where we design innovative AI supercomputers. Our work spans from workload modeling to enhancing accelerator design, with a strong emphasis on system and data center co-design. We are seeking engineers who are passionate about creating cutting-edge AI supercomputer solutions for data center applications.You will collaborate with partners to optimize hardware for our workloads, identify promising new deep learning accelerators, and facilitate the transition of these hardware platforms from concept to production.If you are enthusiastic about the convergence of advanced deep learning, hardware systems, and data center design, this opportunity is perfect for you!About the RoleWe are in search of a Product Manufacturing Engineer to spearhead technical initiatives linked to manufacturing. You will play a vital role in guiding products from concept to launch and through mass production, with a particular focus on PCB and PCBa manufacturing processes. This role allows you to engage with a diverse range of stakeholders, including design engineering, operations teams, TPMs, and external industry vendors, ensuring that all products meet high-quality standards and are delivered on time.This position is based in San Francisco, CA, with a hybrid work model of three days in the office per week. We also provide relocation assistance to new employees.In this role, you will:Drive manufacturing and quality initiatives to ensure product success from concept to launch.Lead the design and manufacturing processes for next-generation AI hardware systems, collaborating with various stakeholders to guarantee that products are developed and delivered timely and to the highest quality standards.Establish NPI product manufacturing processes, systems, and quality controls, defining clear milestones and deliverables while driving internal process improvements across multiple teams and functions.Conduct hands-on product manufacturing analysis during design, development, testing, prototypes, and production phases.Research automation techniques and develop new tests and systems to enhance efficiency.Own the product manufacturing development for hardware products from L6 up to potentially L10.

About Our TeamThe Technical Support team plays a pivotal role in empowering developers and enterprises to create mission-critical solutions utilizing OpenAI models. Our mission is to offer technical guidance, resolve intricate issues, and assist our customers in maximizing the value and adoption of our powerful models. We collaborate closely with Technical Success, Product, Engineering, and other departments to ensure our customers receive an unparalleled experience at scale. Adopting an automation-first approach, we leverage cutting-edge AI technologies to enhance our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and contribute to revolutionizing Technical Support in the AI era.About the PositionWe are in search of a Senior Support Engineer to work alongside our strategic enterprise accounts and product teams, tackling some of the most challenging problems our customers face. As a key member of the elite technical troubleshooting team at OpenAI, you will be the go-to expert for both our customers and Engineering teams when addressing complex technical issues in our environment.In this role, you will design and manage operational processes to monitor our top strategic customers and lead a 24/7 response team. Collaborating closely with our Infrastructure and Engineering teams, you will ensure that our customers enjoy the best possible experience at scale. Engaging directly with our most strategic customers, you will be instrumental in the success of the most innovative, disruptive, and large-scale AI solutions developed using the OpenAI API platform.This position is characterized by low volume but high complexity.This role is based in San Francisco, CA, with a hybrid work model requiring three days in the office each week. We also offer relocation assistance to new employees.Key ResponsibilitiesServe as one of the leading technical and troubleshooting experts for our API platform at OpenAI, acting as the final line of defense before escalation to the core Engineering team.Proactively seek and implement strategies to enhance support operations through automation and advancements in AI technologies, playing a role in shaping the future of technical support in an AI-driven landscape.Set up and utilize advanced monitoring and alerting workflows to detect customer-impacting issues in real time.Collaborate with engineering teams to contribute to reliability reviews and preparation for new features, launches, or strategic customer requirements.

About Our TeamAt OpenAI, our AI Success Engineer team collaborates with the most forward-thinking organizations to convert groundbreaking AI advancements into tangible business outcomes. We support our clients from their initial deployment through to extensive enterprise integration. Our contributions encompass technical integration and enablement, workflow innovation, and ongoing program and product execution.Our clientele includes dynamic digital startups as well as major global corporations, government entities, and educational institutions. Each engagement provides a chance to influence how AI transforms work, enhances productivity, and drives innovation. This position is pivotal to our mission.Role OverviewAs an AI Success Engineer, you will be the primary point of contact for OpenAI's key customers post-sale. Your responsibilities will include enhancing account health and adoption, ensuring technical readiness, identifying new applications, and delivering measurable value using OpenAI's rapidly evolving platform.This position requires a blend of technical expertise, program management, customer advisory, and product influence. You will closely collaborate with customer teams to map workflows, lead configuration efforts, supervise deployment strategies, and guide customers toward impactful use cases that demonstrate the full potential of our platform.Collaboration with Sales, Solutions Architecture, Product, and Research teams will be essential to provide a seamless and successful experience for customers at every interaction. Success in this role entails accelerating adoption rates, deepening customer activation, guiding strategic use cases into production, and helping customers achieve measurable business results.Your Responsibilities Include:Overseeing post-sale technical success, adoption, and value realization across a diverse customer portfolio, leveraging customer insights, product signals, and business impact to determine priority engagement areas.Serving as a trusted advisor regarding deployment health, adoption strategies, and value realization for ChatGPT, API, Codex, and related capabilities.Analyzing logs, telemetry, usage patterns, and customer feedback to diagnose issues, form hypotheses, and provide actionable recommendations on latency, reliability, model selection, prompting, cost efficiency, and rollout preparedness.Leading targeted interventions for critical moments such as launches, risk signals, escalations, renewal preparation, and high-potential expansion opportunities.Translating customer objectives into practical, effective strategies.

OpenAI’s creative team shapes how artificial intelligence is seen and understood. Working alongside the latest advancements in AI, the group turns complex concepts into stories that resonate with people. Their projects range from large-scale campaigns and product launches to films, always placing human experience at the center. Team members who enjoy building narratives from scratch and exchanging new ideas thrive here. Role overview The Creative Copywriter will join OpenAI’s in-house creative team in San Francisco. This position plays a key role in defining and evolving the company’s voice at a pivotal moment. The copywriter works closely with design, product, and communications partners to craft copy for campaigns, launches, and cultural milestones. This job combines strategic thinking with strong writing skills. The copywriter helps make advanced technology feel accessible and relevant through clear, engaging language. Success in this role means understanding how words shape experience and making technical subjects understandable for a wide audience. Collaboration is central to the team’s process. OpenAI values curiosity, open dialogue, and kindness. The team encourages sharing and refining ideas together, balancing craft with decisiveness. This role is based in San Francisco, and relocation assistance is available for those moving to the area. What you will do Lead storytelling for brand campaigns, product launches, and integrated creative projects. Own narrative direction for major initiatives and creative workstreams. Translate OpenAI’s products and features into approachable, emotionally resonant stories. Develop concepts for campaigns, launch messaging, frameworks, and story arcs that align with brand strategy. Create content for launch events, product pages, social media, CRM, web, onboarding, and lifecycle communications. Establish scalable voice systems to maintain consistency across all channels.

About the TeamThe ChatGPT Enterprise team at OpenAI operates within the B2B Applications organization, dedicated to tailoring ChatGPT for large-scale business applications. Our mission is to create an effortless experience that allows users to access the same product for personal and professional use, while addressing the specific needs of enterprises, including robust security protocols, administrative controls, regulatory compliance (e.g., HIPAA/FINRA), and geographic data residency requirements. Our roadmap encompasses three primary workstreams: enterprise controls, user engagement & activation, and tailored company-specific products (e.g., Company Knowledge).About the RoleWe are seeking talented full stack engineers to enhance the product experience for ChatGPT, ensuring it becomes an essential tool for teams. This position emphasizes user benefit and activation: crafting collaborative experiences, onboarding methods, and engagement strategies that empower employees to discover and utilize advanced functionalities, such as agents and customized GPT-like workflows.In this role, you will:Develop comprehensive features across frontend, backend-for-frontend, and service layers to enhance team collaboration and work sharing within ChatGPT.Design and implement activation and engagement systems (e.g., product hooks, discovery interfaces, and user rollout processes) to increase adoption among various user groups within an organization.Collaborate cross-functionally with engineers focused on enterprise controls (security, permissions, compliance, data residency) and company knowledge/search to ensure features are launched with appropriate safeguards and enterprise readiness.Work closely with adjacent teams (including API and agent initiatives) to seamlessly integrate agent functionalities into the ChatGPT user interface, ensuring a native, secure, and scalable experience for business applications.

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 Our Team as a Customer Success Manager/Lead!At Foundation, we're on a mission to revolutionize the homebuilding industry and enhance the experience of buying, selling, and owning homes. We are looking for a dedicated Customer Success Manager to join our dynamic team and drive our core business forward.About UsWith $6.8M in funding from top-tier venture capitalists, including Y Combinator, Foundation is comprised of a talented team formerly from Opendoor, focused on transforming residential real estate. Our flagship product is a cutting-edge customer experience platform tailored for homebuilders — envision it as the 'Shopify for Homebuilders'. We partner with large-scale homebuilders to provide a modern digital experience that significantly boosts customer satisfaction and team productivity. Within just two years, we have achieved remarkable growth and established a strong product-market fit.The RoleAs a Customer Success Manager, you will play a pivotal role in fostering and expanding relationships with our diverse portfolio of clients. You will be the primary contact for our customers post-onboarding, ensuring they maximize their use of our platform and derive long-term value. This position requires a proactive approach in managing multiple accounts, identifying risks and opportunities, and collaborating closely with our Product, Engineering, and Operations teams.This is an ideal opportunity for someone who thrives in a fast-paced environment, enjoys tackling challenges, and seeks a meaningful role within a scaling startup. You will have the autonomy to influence our customer engagement strategies and drive significant impact.