Machine Learning Engineer, API Multicloud

4 hours agoSeniorSalary: 223K - 423KSan Francisco, USAAiJobs by OpenAI

AI research and deployment company building and deploying frontier AI products, including ChatGPT, Codex, and its API platform.

41 current maintainers27 active leads7 new active leads120 lead step-downs17 early lead departures
San Francisco, United States
About OpenAI

OpenAI’s mission is to ensure artificial general intelligence benefits all of humanity. It consists of the nonprofit OpenAI Foundation and OpenAI Group, a public benefit corporation governed by the Foundation.

View jobs by OpenAI

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will build and improve AI systems that help strategic partners adapt OpenAI models in cloud-native environments. You'll work across post-training workflows, evaluation, data pipelines and API/infrastructure integration, diagnosing issues and turning learnings into platform improvements.

Requirements

  • Master's or PhD in Computer Science, Machine Learning, or related field, or equivalent practical experience
  • 3+ years of professional engineering experience in ML, infrastructure, or product engineering
  • Experience building, training, fine-tuning, evaluating, or deploying production AI systems
  • Hands-on experience with deep learning, transformers, PyTorch or TensorFlow
  • Experience training and fine-tuning LLMs (SFT, distillation, preference optimization, RL)
  • Strong software engineering fundamentals in Python, Rust, or similar
  • Experience with evaluation systems, data pipelines, distributed systems, or cloud infrastructure
  • Ability to operate through ambiguity and own problems end-to-end

Responsibilities

  • Partner with strategic customers and internal teams to define target model behaviors and diagnose failure modes
  • Build and scale production ML systems for model customization, post-training, and fine-tuning workflows
  • Design, run, and interpret experiments on training and customization workflows
  • Integrate ML capabilities into AWS-native API environments with backend and infrastructure engineers
  • Improve post-training systems, tooling, APIs, and developer workflows based on partner learnings
  • Bring model improvements and evaluation best practices into production with Research and Applied teams
  • Design systems that let partners safely customize OpenAI models
  • Debug and improve complex systems spanning model behavior, data, APIs, and infrastructure
  • Operate with high ownership in an ambiguous 0→1 environment

Benefits

  • Equity
  • Performance-related bonus
  • Medical, dental, and vision insurance with HSA employer contributions
  • Health FSA, Dependent Care FSA, and commuter pre-tax accounts
  • 401(k) with employer match
  • Paid parental leave (up to 24 weeks birth parents, 20 weeks non-birthing parents)
  • Paid medical and caregiver leave (up to 8 weeks)
  • Flexible PTO for exempt employees
  • 13+ paid company holidays and coordinated office closures
  • Paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in offices and meal delivery credits
  • Relocation support
  • Charitable donation matching and wellness stipends