2 месяца назад
Manager - Model Evaluation (AI)
237 000 - 338 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager - Model Evaluation (AI): Leading validation and benchmarking of machine learning models and behavioral algorithms for autonomous vehicle prediction and planning stacks with an accent on statistical evaluation, simulation, fleet benchmarking, and safety-critical release criteria. Focus on building validation pipelines, defining quantitative go/no-go gates, and translating model risks, uncertainty, and performance trade-offs into executive decisions.
Location: Foster City, California, United States; hybrid workplace
Base salary: $237,000–$338,000 per year, plus potential RSUs, stock appreciation rights, and sign-on bonus.
Company
Zoox is developing a fully autonomous vehicle fleet and the mobility-as-a-service ecosystem supporting it, combining robotics, machine learning, and vehicle design.
What you will do
- Lead and scale a team of Data Scientists, ML Validation Engineers, and Software Engineers.
- Define validation strategies across offline evaluation, open- and closed-loop simulation, and shadow-mode fleet benchmarking.
- Develop and standardize metrics and quantitative release criteria for behavioral prediction and planning models.
- Partner with Autonomy Software, Planner, Prediction, MLOps, Developer Efficiency, and System Safety teams.
- Improve dataset and evaluation pipelines while managing runtime and compute costs.
- Communicate model trade-offs, statistical uncertainty, regressions, and safety risks to executive leadership.
Requirements
- Master’s or PhD in Computer Science, Robotics, Applied Statistics, or a related field.
- 3+ years of engineering management experience leading Data Science, Machine Learning, or V&V teams.
- 7+ years of technical experience in robotics, autonomous systems, or AI/ML.
- Strong experience with ML model validation, behavioral evaluation frameworks, system benchmarking, and statistics.
- Strong foundation in Python and modern data/ML platforms, with familiarity with C++ or distributed systems.
- Experience leading teams that evaluate complex robotic systems and working across release velocity, compute cost, and safety requirements.
Nice to have
- Experience with autonomous vehicles, robotics, or other safety-critical systems.
- Experience building large-scale simulation, model evaluation, or validation infrastructure.
- Experience with reinforcement learning, generative AI, or distributed ML systems.
Culture & Benefits
- Fast-moving, execution-oriented environment focused on autonomous mobility.
- Paid time off, including sick leave, vacation, and bereavement leave.
- Health, life, disability, and long-term care insurance.
- Zoox Stock Appreciation Rights and Amazon Restricted Stock Units.
- Unpaid time off and possible sign-on bonus.
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