Python
PyTorch
CUDA
Kubernetes
MLOps
Role overview
Build ML systems that power OpenAI's products. Work on large-scale training infrastructure, model optimization, and deployment systems.
Responsibilities
• Build and maintain ML training infrastructure
• Optimize model inference and deployment
• Develop MLOps pipelines and monitoring
• Research and implement new ML techniques
Requirements
• PhD or Masters in ML/CS or equivalent experience
• 3+ years of production ML experience
• Strong programming skills in Python
• Experience with deep learning frameworks
Compensation & benefits
Base salary
USD $180k–$250k
Equity
Stock options
Time off
Flexible PTO
Hardware
Top‑tier equipment
Top-tier compensation, equity, research time, conference budget.
How to apply
Ready to join our team? Apply now and take the next step in your career.