Senior Ai Governance Scientist - Artificial Intelligence

Centene

Base: $107,700.00 - $199,300.00 py; bonus/equity: ...
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5+ years ai/ml research experience
3+ years model evaluation and safety
Python-based ai/ml stack proficiency
** Centene is seeking a Senior AI Governance Scientist to lead advanced evaluations of AI systems, focusing on safety, reliability, and alignment with intended use within the healthcare sector. The ideal candidate will have strong technical expertise in AI and machine learning, with a hands-on approach to developing evaluation methodologies and frameworks. **

Job Summary

  • This role is critical for operationalizing AI governance by conducting rigorous evaluations of safety, reliability, and alignment for Centene's diverse AI portfolio.
  • The position involves designing reproducible experiments and automated testing pipelines to identify vulnerabilities in large language models and autonomous agents.
  • Centene offers a comprehensive benefits package including competitive pay, health insurance, 401K, stock purchase plans, and flexible work schedules.

Matching Summary

Match Score: 75

** Centene is seeking a Senior AI Governance Scientist to lead advanced evaluations of AI systems, focusing on safety, reliability, and alignment with intended use within the healthcare sector. The ideal candidate will have strong technical expertise in AI and machine learning, with a hands-on approach to developing evaluation methodologies and frameworks. **

Salary

Base: $107,700.00 - $199,300.00 per year; Bonus/Equity: Not specified; Benefits: Health insurance, 401K, stock purchase plans, tuition reimbursement

Skills & Requirements

Must-have

  • 5+ years AI/ML research experience
  • 3+ years model evaluation and safety
  • Python-based AI/ML stack proficiency
  • Red teaming and stress-testing execution
  • Statistical analysis and experimental design

Nice-to-have

  • Master's degree in quantitative field
  • Publication record in AI evaluation
  • Experience with causal inference techniques
  • Familiarity with LangChain and AutoGen
  • Knowledge of MLOps observability tools

Key Requirements

  • Bachelor's Degree in Computer Science or related field
  • 7+ years preferred total experience
  • Hands-on experience with PyTorch and Databricks
  • Expertise in LLM observability and evaluation frameworks

Work Rights

Not specified

Tailored Resume

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