OpenAI Jobs

thinkingmachines

Thinking Machines Lab is seeking an Endpoint Engineer to join their IT team. This role will focus on building secure infrastructure and efficient processes for an all-Mac environment, managing the endpoint fleet as a distributed platform with production-engineering practices. The team utilizes version-controlled workflows for endpoint configurations, security policies, scripts, and software deployments, incorporating testing, review, staged rollouts, and rollback capabilities. The Endpoint Engineer will collaborate closely with IT, Security, and Identity teams to ensure a secure and reliable employee computing experience.

$200k - $325k

thinkingmachines

Thinking Machines Lab is seeking an Operations Analyst to focus on ensuring product safety while supporting rapid product iteration. This role involves close collaboration with product engineers, security, researchers, and designers to integrate safety and integrity into the entire product lifecycle. Daily tasks will include managing the moderation queue and developing tools and policies to enhance the speed and accuracy of future moderation efforts.

$190k - $300k

Harvey

Harvey is transforming professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are a fast-growing company with strong product-market fit, seeking individuals who want to do the best work of their careers. As a Staff Software Engineer on the Model Infrastructure team, you will lead the design and development of the systems that power every AI request at Harvey. You will partner closely with AI Research, Product Engineering, and Infrastructure teams to build a highly reliable, scalable, observable, and efficient platform.

$236k - $290k

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a rare chance to help build a generational company at a true inflection point, with strong product-market fit and world-class investor support. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As the Engineering Manager for Model Infrastructure, you will lead the team responsible for the platform powering every model request across Harvey, partnering closely with AI Research, Product Engineering, and Infrastructure to ensure reliability, scalability, and cost-efficiency. This is a strategic engineering organization, critical for every product capability, and will evolve to build the infrastructure for Harvey to train, evaluate, deploy, and operate its own frontier AI models.

$260k - $340k

thinkingmachines

Thinking Machines Lab is seeking a full stack engineer to build and ship products from prototype to scale, and to maintain tools that accelerate research and product teams. This role involves working across frontend and backend components, and contributing to the reliability, observability, and security of production systems. The company's mission is to empower humanity through advancing collaborative general intelligence, building a future where everyone has access to AI tools for their unique needs.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking a full-stack engineer to develop and deploy the products and services that Tinker users engage with daily. This role involves working across frontend, backend, and infrastructure to build the Tinker console, developer tools, and other essential components for the platform. Tinker is a fine-tuning API that enables researchers and developers to customize frontier AI models using their own data and algorithms, managing the underlying infrastructure to provide flexibility and access to advanced capabilities.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking a developer productivity engineer to enhance internal software development processes, focusing on safety, speed, and user experience. This role will concentrate on AI tools and coding agents, collaborating with platform, security, and product engineers to build cutting-edge tooling for AI-assisted software development and significantly accelerate the inner development loop. The position involves both establishing company-wide platforms and assisting individual developers in optimizing their workflows.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking an engineer to join a high-impact team focused on data infrastructure. This role is crucial for architecting and scaling the core systems that power distributed training pipelines, multimodal data catalogs, and intelligent processing of petabytes of data. You will work directly with researchers to accelerate experiments, develop new datasets, enhance infrastructure efficiency, and derive key insights from our data assets. If you are passionate about distributed systems, large-scale data mining, and building foundational tools from the ground up, we encourage you to apply.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking a Site Reliability Engineer (SRE) to ensure the end-to-end reliability of their Tinker platform. This role involves working closely with engineers and research teams to enhance the robustness and resilience of every system layer. The SRE will be instrumental in maintaining and improving the infrastructure that supports custom AI model fine-tuning, ensuring a seamless experience for researchers and developers.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking an infrastructure research engineer to design, optimize, and scale the systems that power large AI models. The goal is to make inference faster, more cost-effective, more reliable, and more reproducible, enabling research teams to focus on advancing model capabilities. This role is crucial for ensuring that every experiment, evaluation, and deployment runs smoothly at scale, with a focus on performant and efficient model inference for both real-world applications and research acceleration.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking a Research Engineer focused on developer experience to build and enhance their Tinker platform. This role involves working hands-on with users to understand their challenges and translate them into product improvements. You will be responsible for creating and updating documentation, adding library features, prototyping integrations, and ensuring users can smoothly customize frontier AI models. This position acts as a crucial link between Tinker users and the internal research and infrastructure teams, surfacing user patterns to inform product and infrastructure priorities and sharing learnings through various channels.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking a Software Engineer to own the platform systems that power Tinker, their fine-tuning API. This role involves developing and maintaining critical components such as billing and usage metering, permissions and access control, organization and team management, data export functionalities, and audit logging. You will collaborate closely with product, legal, and other cross-functional teams, ensuring that new features, pricing adjustments, and enterprise deals are seamlessly integrated into the platform. This is an opportunity to grow a rapidly expanding platform and contribute to the Tinker community.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking engineers to build the libraries and tools that accelerate research. You will own internal infrastructure, including evaluation libraries, RL training libraries, and experiment tracking platforms, and build systems that compound research velocity over time. This is a collaborative role where you will work directly with researchers to identify bottlenecks and pain points. Success means researchers trust your systems to just work and find them a delight to use.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking engineers to build the libraries and tools that accelerate research. You will own internal infrastructure, including evaluation libraries, RL training libraries, and experiment tracking platforms, to build systems that compound research velocity over time. This is a collaborative role where you will work directly with researchers to identify bottlenecks and pain points. Success means researchers trust your systems to just work and find them a delight to use.

$350k - $475k

Harvey

Harvey is transforming legal and professional services by integrating agentic AI, an enterprise platform, and domain expertise. This role offers a unique opportunity to contribute to a rapidly scaling, category-defining company. The Customer Education team is building the technical infrastructure for AI education for legal professionals, focusing on systems like Harvey Academy and the help center. This is a high-autonomy position where you will translate educational strategy into production-grade technical solutions, automating manual content operations to create smarter, faster, and scalable processes. You will be instrumental in defining the future of generative AI education and ensuring customers quickly become experts on the platform.

$124k - $185k

Harvey

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are seeking an Automation Engineer to join our Customer Education team, focusing on building the technical infrastructure for Harvey Academy and our help center. This role involves owning systems from AI agents and automation pipelines to video content, partnering with strategists and content specialists to translate educational strategy into production-grade technical solutions. You will be instrumental in replacing manual, time-intensive content operations with smarter, faster, and scalable solutions, directly impacting how quickly our customers become experts on the platform. This is a high-autonomy role with significant influence in a category-defining legal AI company, offering a short path from idea to impact.

$124k - $185k

Harvey

Harvey is transforming legal and professional services by integrating agentic AI, an enterprise platform, and domain expertise. This role offers a unique opportunity to contribute to a rapidly scaling, category-defining company. The Customer Education team is building the technical infrastructure for AI education for legal professionals, focusing on systems like Harvey Academy and the help center. This is a high-autonomy position where you will translate educational strategy into production-grade technical solutions, automating manual content operations to create smarter, faster, and scalable processes. You will be instrumental in defining the future of generative AI education and ensuring customers quickly become experts on the platform.

$124k - $185k

Scale AI

Scale AI is seeking a Frontier Agents Engineer to act as a technical bridge between our AI capabilities and strategic customers. This hands-on role involves understanding customer challenges, architecting custom AI solutions, and ensuring successful deployment of AI systems in production. You will work directly with customer engineering teams to integrate AI into their critical workflows, combining deep engineering expertise with customer-facing problem-solving.

Scale AI

Scale AI is seeking a Senior Frontier Agents Engineer to join their Enterprise team. This role serves as a technical liaison, connecting Scale AI's advanced AI capabilities with key enterprise clients. You will collaborate with customers to understand their specific needs, design tailored AI solutions, and ensure the successful implementation and adoption of AI systems in production environments. This is a hands-on position requiring a blend of deep engineering expertise and customer-focused problem-solving, involving direct work with client engineering teams to integrate AI into their core operations.

Scale AI

Scale AI is seeking a Staff Frontier Agents Engineer to act as a technical bridge between Scale AI's AI capabilities and strategic customers. This role involves understanding customer challenges, architecting custom AI solutions, and ensuring successful deployment in production environments. It's a hands-on technical position combining deep engineering expertise with customer-facing problem-solving, requiring direct collaboration with customer engineering teams to integrate AI into critical workflows.