Related skills
python machine learning data quality experimentation llms📋 Description
- Prototype AI/ML methods to improve data quality and evaluation workflows.
- Design experiments, benchmarks, and reliability tests for impact.
- Apply ML, statistics, LLMs, and agentic techniques where valuable.
- Use modern AI tools to accelerate prototyping and iteration.
- Partner with product/engineering to translate methods into scalable capabilities.
- Communicate assumptions, trade-offs, and recommendations clearly.
🎯 Requirements
- PhD or MSc in CS, Math, Stats, ML, or related.
- 3+ years applied ML/AI/data science with real-world impact.
- Experience with human-in-the-loop AI: RLHF, annotation pipelines.
- Fluency with modern LLMs and agentic techniques (RAG, multi-agent).
- Strong Python and rapid prototyping skills.
- Translate ambiguous problems into hypotheses, experiments, metrics.
🎁 Benefits
- Remote-friendly work environment
- Collaborative cross-functional team
- Opportunities for groundbreaking ML research
- Access to Prolific's human data platform
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