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Centene
Centene

Leading company in the healthcare industry

Principal AI Governance Scientist - Artificial Intelligence

职能机器学习
级别Staff+
地点16 Locations
方式现场办公
类型全职
发布1个月前
立即申请

必备技能

Machine Learning

You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll have access to competitive benefits including a fresh perspective on workplace flexibility.

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.

Position Purpose: Leads the technical evaluation and assurance efforts within our AI Governance team. Establishes enterprise-grade, decision-relevant methodologies for red teaming, testing, and evaluating AI systems across traditional ML, Generative AI, and Agentic AI applications, ensuring evaluations directly inform AI governance decisions, deployment readiness, and ongoing oversight.

  • Develops reproducible frameworks to measure AI value, user impact, and broader outcomes to support responsible scaling, risk acceptance, and investment decisions

  • Designs rigorous evaluation methodologies for assessing AI system performance, safety, reliability, and alignment with intended use across the AI lifecycle, from development through deployment and monitoring

  • Develops criteria and benchmarks to determine whether existing evaluations are adequate and sufficient for different AI applications and risk profiles

  • Designs and executes comprehensive red team exercises to identify vulnerabilities, failure modes, and unintended behaviors across diverse AI systems and devise solutions to address them

  • Develops rigorous evaluation methodologies and criteria to assess whether existing evaluations are adequate and sufficient for different AI applications and risk profiles

  • Establishes standards for evaluation coverage, rigor, and documentation across the AI lifecycle

  • Establishes reproducible methodologies for measuring business value, user impact, and societal outcomes of AI systems using causal inference and experimental design

  • Advances the scientific understanding of AI evaluation and safety through white papers and trainings

  • Provides technical leadership and mentorship to scientists, engineers, and compliance professionals while building organizational evaluation capabilities

  • Stays at the forefront of AI safety research and identify novel risks emerging from advanced AI capabilities, particularly in frontier models

  • Translates complex technical findings into actionable recommendations for leadership, governance boards, and cross-functional teams

  • Collaborates with external researchers, institutions, and industry partners to advance evaluation methodology and contribute to the broader AI safety community

  • Performs other duties as assigned

  • Complies with all policies and standards

Education/Experience: Bachelor's Degree Computer Science, Machine Learning, Statistics, or related quantitative field; or equivalent experience required.

Master's Degree preferred:

Technical Skills:

  • 6+ years AI/ML research, including 3+ years focused on model evaluation, safety, or robustness required. 8+ years preferred

  • Deep technical expertise in modern AI systems with hands-on experience evaluating large language models, generative AI, and/or agentic systems required

  • Proven track record designing rigorous evaluation methodologies and publication record required

  • Strong foundation in statistical methods, experimental design, causal inference, and excellent Python programming skills with ML frameworks required

  • Familiarity with Python‑based AI/ML stack using Py Torch and Databricks, with agentic AI frameworks (Lang Chain, Llama Index, Lang Graph, Auto Gen, CrewAI) for single‑ and multi‑agent systems. Strong focus on LLM observability, MLOps, and evaluation using Lang Smith, MLflow, Weights & Biases, Datadog, OpenTelemetry, and testing frameworks like Deep Eval and Lang Test

Pay Range: $134,600.00 - $249,000.00 per year

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.

Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

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关于Centene

Centene

Centene

Public

Centene Corporation is an American for-profit healthcare company that serves as an intermediary for government-sponsored and privately insured healthcare programs. Based in Clayton, Missouri, Centene ranked No. 23 on the 2025 Fortune 500.

10,001+

员工数

the Greater St

总部位置

$17B

企业估值

评价

10条评价

3.3

10条评价

工作生活平衡

3.8

薪酬

2.8

企业文化

3.7

职业发展

2.5

管理层

2.8

62%

推荐率

优点

Flexible hours and schedule

Good benefits and health benefits

Strong team culture and collaboration

缺点

Limited career advancement and upward mobility

Poor management and lack of direction

Overwhelming workload and stress

薪资范围

20个数据点

Junior/L3

L2

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

L3

L4

L5

Junior/L3 · Data Scientist L1

0份报告

$98,351

年薪总额

基本工资

-

股票

-

奖金

-

$83,598

$113,104

面试评价

3条评价

难度

2.7

/ 5

时长

14-28周

录用率

33%

体验

正面 33%

中性 0%

负面 67%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Hiring Manager Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit