Sr. Data Scientist, Trust and Safety
San Francisco, CA, US; Remote, CA, US
R
USD 139K-287K Senior-level Full Time
Tasks
- Build large scale data pipelines for safety labeling
- Calculate prevalence rates for trust and safety policy violations
- Coordinate labeling queues and calibrate labeler decision quality
- Design and develop ML assisted sampling techniques
- Orchestrate offline dashboards and online production workflows
- Translate safety policies into LLM prompts
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Testing | Apache Spark | Data Aggregation | Data Pipelines | Data labeling | LLM prompting | Machine Learning | Prevalence Measurement | Python | SQL | Sampling techniques | Statistical Methods | Up Sampling
Education
N/A
Roles
Regions
Countries
States
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