Training: ML Framework Engineer
OpenAI · Scaling
- Location
- San Francisco, California, United States
- Metro
- San Francisco Bay Area
- Workplace
- Hybrid
- Level
- Unspecified
- Type
- Full-time
- Pay
- $295K–$500K/yr (published by employer)
- Posted
- 12 months ago
- Source
- Ashby
Read the full posting & apply ↗
What the posting covers
About the Team
Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a…
About the Role
As a Training: ML Framework Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and…
In this role, you will
Apply the latest techniques in our internal training framework to achieve impressive hardware efficiency for our training runs Profile and optimize our training framework Work with researchers to enable them to develop the next generation of models
You might thrive in this role if you
Have run small scale ML experiments Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden Have strong software engineering skills and are proficient in Python
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our…
Excerpts only. The employer’s page has the complete posting.