
Applied AI/ML Evaluation & Monitoring Manager – Autonomous Vehicle
General Motors
full-time
Posted on:
Location Type: Hybrid
Location: Sunnyvale • California • United States
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Salary
💰 $218,800 - $335,300 per year
Tech Stack
About the role
- Lead and grow an Applied ML team responsible for designing, implementing, and operating scalable evaluation, monitoring and deep-triage systems for AV ML stacks
- Own end-to-end ML Monitoring & Triage tool sets: from design, to early prototypes, experiment setup and final productionization.
- Develop AI/ML-powered triage agents that dives deep into performance issues and generates solution level triage and root cause
- Partner cross-functionally with AI/ML, simulation, systems, safety, and product teams to identify the most important signals and scenarios to evaluate, and to prioritize improvement opportunities for the ML stack.
- Create clear, compelling narratives and reports that synthesize complex data into actionable insights for senior leaders and partner teams, enabling informed, timely launch and continuous deployment decisions.
- Foster a high-performance, inclusive team culture focused on accountability, rigorous thinking, healthy debate, and continuous learning.
- Establish and refine team processes (prioritization, planning, execution, incident reviews) to ensure reliable, scalable, and repeatable delivery of evaluation results.
Requirements
- Bachelor’s degree in Computer Science, Electrical/Computer Engineering, Robotics, Applied Mathematics, or a related technical field, or equivalent practical experience.
- 2+ years of people management experience leading engineering, validation, or applied ML teams.
- 5+ years of experience in one or more of: applied ML, systems engineering, validation/verification, or evaluation for complex software or autonomy systems.
- Demonstrated end-to-end ownership from problem definition through methodology design, implementation, analysis, and driving concrete product outcomes.
- Proven analytical and systems engineering skills in highly complex, ambiguous technical domains (e.g., end-to-end ML stacks, robotics, or distributed systems).
- Experience designing or operating evaluation or validation pipelines that leverage both simulation and real-world data.
- Strong communication skills, with a track record of aligning diverse stakeholders and presenting complex technical concepts to mixed technical and non-technical audiences.
Benefits
- medical
- dental
- vision
- Health Savings Account
- Flexible Spending Accounts
- retirement savings plan
- sickness and accident benefits
- life insurance
- paid vacation & holidays
- tuition assistance programs
- employee assistance program
- GM vehicle discounts
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
applied MLsystems engineeringvalidationevaluationAI/ML-powered triage agentsperformance analysismethodology designincident reviewsevaluation pipelinesdata analysis
Soft Skills
people managementcommunicationteam cultureaccountabilityrigorous thinkinghealthy debatecontinuous learningstakeholder alignmentnarrative synthesisreporting
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Electrical/Computer EngineeringBachelor’s degree in RoboticsBachelor’s degree in Applied Mathematics