Training: ML Framework Engineer
$295k - $500k • San Francisco • FullTime
Posted 11mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
As a Training: ML Framework Engineer, you will focus on enhancing the training throughput of our internal training framework, empowering researchers to explore novel ideas. This role demands strong engineering skills, including the design, implementation, and optimization of state-of-the-art AI models, coupled with meticulous machine learning code development and a deep understanding of supercomputer performance. The ultimate objective is to advance the field of AI. We are seeking individuals passionate about performance optimization, distributed systems, and writing bug-free code, as improvements in this framework, used for large-scale GPU runs, will have a significant impact.
Responsibilities
- Apply the latest techniques to our internal training framework for impressive hardware efficiency.
- Profile and optimize the training framework's performance.
- Collaborate with researchers to enable the development of next-generation models.
Requirements
- Experience running small-scale ML experiments.
- A strong aptitude for understanding system mechanics and identifying opportunities for performance improvements while minimizing complexity and maintenance.
- Proficiency in Python and strong software engineering skills.
Benefits
- Hybrid work model (3 days in office per week).
- Relocation assistance for new employees.