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Machine Learning Engineer, API Multicloud

OpenAI· Core Product & Platform
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San Francisco$223k - $423kFull-timePosted 6mo ago

About the role

Machine Learning Engineer role focused on building and refining AI systems to adapt OpenAI models for cloud-native, AWS-based environments, across post-training workflows, evaluation, data pipelines, model behavior, and API/infrastructure integration.

Responsibilities

  • Partner with strategic customers and internal teams to define target model behaviors, diagnose failure modes, and translate real-world needs into training, evaluation, and system requirements.
  • Build and scale production ML systems for model customization, post-training, and fine-tuning-as-a-service workflows.
  • Design, run, and interpret experiments to see whether training and customization workflows are producing the intended outcomes, and identify changes to data, evaluation, training, or infrastructure that improve performance.
  • Partner with backend and infrastructure engineers to integrate ML capabilities into AWS-native API environments.
  • Feed learnings from partner deployments back into the platform by proposing and implementing improvements to post-training systems, tooling, APIs, and developer workflows.
  • Work closely with Research and Applied teams to bring model improvements, training workflows, and evaluation best practices into production.
  • Help design systems that allow strategic partners and enterprise customers to safely customize OpenAI models for high-value use cases.
  • Debug and improve complex systems spanning model behavior, training data, APIs, distributed infrastructure, and customer-facing product surfaces.
  • Operate with high ownership in a 0→1 environment where requirements are ambiguous, systems are evolving quickly, and reliability matters.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
  • 3+ years of professional engineering experience in relevant ML, infrastructure, or product-driven engineering roles.
  • Strong ML engineering experience building, training, fine-tuning, evaluating, or deploying production AI systems, with hands-on experience in deep learning, transformer models, and frameworks like PyTorch or TensorFlow.
  • Hands-on experience with training and fine-tuning large language models, including methods like supervised fine-tuning, distillation, preference optimization, reinforcement learning, or other post-training techniques.
  • Strong software engineering fundamentals, including data structures, algorithms, systems design, and high-quality production code in Python, Rust, or similar languages.
  • Experience with model customization, evaluation systems, data pipelines, distributed systems, cloud infrastructure, or production ML platform tradeoffs.
  • Ability to operate across model behavior, APIs, and infrastructure, while collaborating closely with Research, Safety, product engineering, infrastructure, and external technical partners.
  • Comfort moving quickly through ambiguity, owning problems end-to-end, and learning whatever is needed to get the job done.

Skills

Required:Model customizationPost-training workflowsData pipelinesExperiment design and analysisPythonPyTorch/ TensorFlow
Nice to have:RustDistributed systems

Benefits

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus 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 our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
Last updated Sep 10, 2026. Interested? Apply on the company site.

About OpenAI

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Company profileWebsite

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