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python ai ml evaluation jupyterπ Description
- Define AI impact on children's education.
- Own AI systems end-to-end from opportunities to production.
- Collaborate with learning experts to measure education quality, safety, latency.
- Design the agent harness for tutoring decisions.
- Develop learner profiling/adaptation models per child.
- Create feedback loops to improve product via data.
π― Requirements
- 3+ years building AI products in engineering or research.
- Clean Python code; quick onboarding and debugging.
- Experience building/evaluating AI evals.
- Comfortable with experimental thinking and empirical reasoning.
- ML foundations; read papers and apply math.
- AI-forward workflow and curiosity about AI in engineering.
π Benefits
- Small, mission-driven team with impact on child development.
- In-person collaboration at the San Francisco office.
- Public benefit corporation with diverse, inclusive culture.
- Visa sponsorship available for eligible US candidates.
π Visa sponsorship
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