Scale AI is dedicated to developing reliable AI systems for significant decisions. The Machine Learning Research Engineer will lead applied ML engineering, building scalable multi-agent systems and driving research to enhance agent reliability in real-world applications.
Responsibilities:
- Build and deploy multi-agent systems for agentic reasoning validation
- Develop pipelines to detect errors and scale human judgment
- Combine classical ML, LLMs, and multi-agent techniques for reliability
- Lead research into agent failure modes and ship fixes
- Use AI tools to speed prototyping and iteration
- Build data-driven evaluations and deploy rapid improvements
- Integrate systems into Scale's platform