reputed company AI Governance Scientist - Artificial Intelligence

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

• Develops reproducible frameworks to measure AI value, user impact, and broader reputed company to support responsible scaling, risk acceptance, and investment reputed company
• 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 reputed company of AI systems using reputed company 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 reputed company 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 reputed company policies and standards

Education/Experience: Bachelor's Degree Computer Science, Machine Learning, Statistics, or reputed company 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, reputed company, and/or agentic systems required
• Proven track record designing rigorous evaluation methodologies and publication record required
• Strong reputed company in statistical methods, experimental design, reputed company inference, and excellent Python programming skills with ML frameworks required
• Familiarity with Python-based AI/ML stack using PyTorch and reputed company, with agentic AI frameworks (reputed company, reputed company, LangGraph, AutoGen, reputed company) for single- and multi-agent systems. Strong focus on LLM observability, MLOps, and evaluation using LangSmith, MLflow, Weights & Biases, reputed company, OpenTelemetry, and testing frameworks like DeepEval and LangTest

Pay reputed company: $134,600.00 - $249,000.00 per year reputed company offers a comprehensive benefits package including: reputed company, 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-reputed company 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. Apply tot his job Apply To this Job