1 день назад
Senior Machine Learning Engineer, Multimodal Perception (Autonomous Driving)
213 000 - 263 000$
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
Senior Machine Learning Engineer, Multimodal Perception (Autonomous Driving): Training, evaluating, and releasing learned driving policies that translate multimodal perception into behavioral actions for autonomous navigation with an accent on perception-planning integration, production ML, and safety-critical evaluation. Focus on deploying models in closed-loop simulation, benchmarking strict safety metrics, and replacing rule-based heuristics with scalable data-driven policies.
Location: Hybrid role associated with Mountain View, California, United States
Base salary: $213,000–$263,000 USD annually, plus eligibility for an annual bonus, equity incentive plan, and company benefits.
Company
Waymo develops autonomous driving technology and operates a fully autonomous ride-hail service powered by the Waymo Driver.
What you will do
- Develop, evaluate, and release learned driving policies for complex navigation and yielding scenarios.
- Bridge multimodal perception and planning outputs to produce robust behavioral actions.
- Deploy learned models into closed-loop simulation environments and benchmark them against strict safety metrics.
- Drive the transition of validated models into production autonomous navigation systems.
- Advance the move from rule-based heuristics to scalable, data-driven learned policies.
Requirements
- 2–5+ years of experience training and releasing ML models in autonomous driving, robotics, or complex spatial AI.
- Hands-on experience across perception and planning stacks.
- Proficiency in learned driving policies, including reinforcement learning or imitation learning.
- Experience with PyTorch or JAX, closed-loop simulator evaluation, and production model releases.
- Experience using foundation models and AI tools for scenario generation, evaluation analysis, and rapid experimentation.
Nice to have
- Familiarity with Vision-Language-Action models and World Models.
Culture & Benefits
- Cross-functional work across perception, planning, and autonomous driving systems.
- Eligibility for a discretionary annual bonus program.
- Equity incentive plan.
- Company benefits program, subject to eligibility requirements.
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