Data Scientist - Responsible AI
Tasks
- Assess Responsible AI tools and frameworks
- Assess fairness bias explainability and transparency
- Communicate findings, risks, and recommendations
- Create model cards and evaluation reports
- Design experiments and interpret statistical results
- Develop Responsible AI evaluation measures
- Establish performance baselines
- Evaluate generative AI systems
- Evaluate hallucination safety reliability and robustness
- Execute proofs of concept for Responsible AI evaluation approaches
- Integrate Responsible AI testing into development QA and governance
- Maintain benchmark datasets and test suites
Perks/Benefits
- 401k match
- Business resource groups BRGs
- Dental insurance
- Family and Medical Leave FMLA
- Life insurance
- Medical insurance
- Paid Long Term Disability
- Paid Short Term Disability
- Paid parental leave
- Paid time off
- Paid volunteer time
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Automated testing | Benchmarking | Experiment design | Explainability | Fairness metrics | Generative AI | Hallucination Evaluation | Language Models | Large Language Models | Machine Learning | NIST | Python | Reliability testing | Responsible AI | Robustness Testing | SQL | Safety testing | Statistical Analysis | Technical documentation | Transparency | Version control
Education
Roles
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