[2026] Data Scientist, Foundation AI - PhD Early Career
Tasks
- Build automated evaluation tooling
- Conduct causal inference
- Define success metrics
- Develop evaluation frameworks for GenAI systems
- Fine tune and optimize evaluation methods
- Perform model based evaluation using LLM as a judge
- Run A/B tests
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Data Generation | Dataset design | Experiment design | Fine Tuning | Hive | LLM Evaluation | LLM-as-a-Judge | Label reliability analysis | Machine Learning | Metric Design | Python | R | RLHF | Reliability analysis | SQL | Spark | Statistical Analysis | Synthetic Data Generation | Synthetic data
Education
Roles
Regions
Countries
States
Cities
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