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software engineering machine learning ai reinforcement learning agents📋 Description
- Work with startup customers to map workflows and identify improvements.
- Prototype prompts, agents, and workflows to test system behavior.
- Synthesize feedback to Product/Research with evals, benchmarks, and artifacts.
- Build repeatable tools and evaluation approaches for use cases.
- Balance quick fixes with longer-term system improvements.
- Build relationships with the startup ecosystem and present to developers.
🎯 Requirements
- Strong software engineering and AI fundamentals; production systems a plus.
- Familiarity with model training pipelines and reinforcement learning.
- Experience building AI apps, agents, or evaluation systems.
- Comfort with highly technical users; translate challenges into signals.
- Prototyping, debugging, eval design, and cross-functional collaboration.
- Clear communication across technical and non-technical audiences.
🎁 Benefits
- Hybrid work model: 3 days in the office per week.
- Relocation assistance for new hires.
- Opportunity to work with frontier AI startups.
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