ML Engineer, API Multicloud — AWS-native AI Platforms

Fdetimes; San Francisco (CA); On-site; USD 190,000 - 260,000; Full time

Job summary

OpenAI is hiring a Machine Learning Engineer to build and improve AI systems for strategic cloud deployments, starting with AWS. You will work on post-training workflows, evaluation, data pipelines, model behavior, and API/infrastructure integration.

You’ll collaborate with Research, Applied, Safety Systems, and external partners to diagnose issues, turn learnings into platform improvements, and deliver high-impact, reliable ML capabilities at scale.

Qualifications

• Master’s or PhD in Computer Science, ML, or related field, or equivalent practical experience.
• 3+ years of professional ML or infrastructure engineering experience.
• Strong ML engineering experience building, training, fine-tuning, evaluating, or deploying production AI systems with deep learning and transformer models.
• Hands-on experience with training and fine-tuning large language models using supervised fine-tuning, distillation, reinforcement learning, or other post-training techniques.
• Strong software engineering fundamentals 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 with cross-team collaboration.
• Comfort moving quickly through ambiguity and owning problems end-to-end.

Responsibilities

• Define target model behaviors with strategic customers and internal teams and translate 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 assess training and customization outcomes and identify improvements to data, evaluation, or infrastructure.
• 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.

Skills

ML engineering

Large language models

Python

Transformers

Cloud infrastructure

Distributed systems

Ambiguity handling

Cross-team collaboration

Education

Masters or PhD in Computer Science or Machine Learning

Tools

PyTorch

TensorFlow

AWS

Kubernetes

Docker

Job description

OpenAI is hiring a Machine Learning Engineer to build and improve AI systems for strategic cloud deployments, starting with AWS. You will work on post-training workflows, evaluation, data pipelines, model behavior, and API/infrastructure integration.

You’ll collaborate with Research, Applied, Safety Systems, and external partners to diagnose issues, turn learnings into platform improvements, and deliver high-impact, reliable ML capabilities at scale.