Tech Lead Manager- MLRE, ML Systems
Scale AI · San Francisco, CA; New York, NY · San Francisco, CA
CHECKED 15H AGO
Infrastructureonsitelead$290k–$363k
At a glance
Highlights
- Build internal distributed framework powering LLM training and evaluation.
- Enable next-generation LLM training, inference and data curation.
- Support all ML research via foundation platform for data quality evaluation.
What they offer
- Equity compensation
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend
Ideal candidate
Systems-obsessed builder who loves performance optimization and collaborating with researchers to push forward next-generation LLMs.
Requirements
- Passion for system optimization
- Experience with multi-node LLM training and inference
- Experience building large-scale distributed ML systems
- Familiarity with post-training methods like RLHF/RLVR and PPO/GRPO
- Strong software engineering skills
- Strong written and verbal communication skills for cross-functional collaboration
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