Scale AI
Data AI · Data labeling
- HQ
- San Francisco, US
- Founded
- 2016
- Size
- 1,500+
- Website
- scale.com
Products
Competitors
- Databricks · Data AI
Currently tracking 82 active AI roles, up 61% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $139k–$393k (avg $256k).
Data AI · Data labeling
| Title | Stage | AI score |
|---|---|---|
| Director, Enterprise Machine Learning & Research Director of Enterprise ML at Scale AI, leading research scientists and engineers in GenAI initiatives. The role involves defining and driving a multi-year research roadmap, collaborating cross-functionally, and communicating research outcomes. Focus is on turning research into production-ready systems, with experience in evaluation, post-training, agents, and RL environments. Requires strong research background, publications, and team leadership experience. | Post-trainAgent | 9 |
| Manager, Machine Learning Research Scientist, GenAI Manager for a GenAI research team focused on evaluation, post-training, agents, and RL environments. The role involves leading a team, defining research roadmaps, driving execution, and collaborating cross-functionally. Requires a strong research background with publications and experience in fast-paced environments. |
| Post-trainAgent |
| 9 |
| Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI Scale AI is seeking a Staff Machine Learning Research Engineer focused on post-training algorithms for complex agents in enterprise GenAI applications. The role involves building a next-generation Agent RL training platform, integrating cutting-edge research, and training state-of-the-art models for enterprise customers, including cybersecurity and healthtech use cases. Experience with LLM training, post-training methods like RLHF/RLVR, and publications in top conferences are required. | Post-trainAgent | 9 |
| Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI Scale AI is seeking an ML Systems Research Engineer to work on building algorithms for their next-gen Agent RL training platform, supporting large-scale training, and researching/integrating state-of-the-art technologies to optimize ML systems. The role involves post-training state-of-the-art models for enterprise engagements and creating next-gen agent training algorithms for multi-agent/multi-tool rollouts. | Post-trainAgent | 9 |
| Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI This role focuses on researching and building synthetic data pipelines and agents to improve enterprise GenAI models. It involves creating agents for trace analysis, contributing to an agent-building framework, and training state-of-the-art models using post-training and agent-building algorithms. | Post-trainAgent | 9 |
| Machine Learning Research Scientist, Post-Training Research Scientist focused on LLM post-training techniques (SFT, RLHF, reward modeling) to enhance text and multimodal capabilities. Involves optimizing data curation, analyzing model behavior, and publishing findings. | Post-train | 9 |