RefolkCandidates
JobsBuild my resume

Training: ML Framework Engineer

OpenAI · San Francisco

$205k - $445k/yrMid levelEngineeringScalingRuntimePosted 29 months ago
Apply with a tailored resumeView the original posting

About this role

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training: ML Framework Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward. We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. Since our training framework is used for large runs with massive numbers of GPUs, performance improvements here will have a large impact. This role is based in San Francisco, CA. We use a

Excerpt from the posting OpenAI published. Read the full description on their site before applying.

Skills this posting mentions

Computer ArchitectureMachine LearningTeam Training

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first - ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

All 755 openings at OpenAI

Apply to this role, tailored

Queue Training: ML Framework Engineer at OpenAI and I will read the posting, rewrite your resume against it, draft the cover letter, and score the fit before you send anything.

Applications finish as drafts. Nothing is sent until you read it and press send. New accounts start with 500 free credits.

Tailor my applicationHow it works

More roles at OpenAI

See all

Similar roles elsewhere

See more

Listed from the job board OpenAI publishes. Refolk is not the employer and does not handle their hiring. Applications go to OpenAI directly.