Training: ML Framework Engineer
OpenAI · San Francisco
CHECKED 1H AGO
Frontier labonsite$295k–$500k
At a glance
Highlights
- Optimize distributed training runtime powering frontier-scale model runs.
- Build fault-tolerant frameworks with resilient checkpointing and observability.
- Boost hardware efficiency to accelerate researcher experiments at scale.
What they offer
- Equity
- Relocation assistance
Ideal candidate
Performance-obsessed systems thinker who loves digging into distributed systems and eliminating bugs. Thrives partnering with researchers to turn ideas into fast, reliable large-scale training runs.
Requirements
- Have run small scale ML experiments
- Strong software engineering skills and proficient in Python
- Love figuring out how systems work and making them faster with minimal complexity
- remote policy
- Hybrid - 3 days in office per week
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets