ML Research Engineer, ML Systems
Scale AI · San Francisco, CA; Seattle, WA; New York, NY · San Francisco, CA
CHECKED 14H AGO
Infrastructureonsite$190k–$237k
At a glance
Highlights
- Build and optimize internal distributed platform for LLM training and inference.
- Power next-generation LLM research across training, evaluation and data curation.
- Work at the heart of AI enabling models for leading enterprises and governments.
What they offer
- Equity compensation
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend
Ideal candidate
A systems-minded engineer excited by optimization who thrives in cross-functional research environments and wants to build foundational platforms shaping the future of AI.
Requirements
- Strong excitement about system optimization
- Experience with multi-node LLM training and inference
- Experience developing large-scale distributed ML systems
- Strong software engineering skills
- Strong written and verbal communication skills with ability to operate in cross-functional team
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta