Престижная роль в мировом лидере по беспилотникам с передовым AI-стеком, хотя базовая зарплата чуть ниже рыночного медианного значения для такого уровня.
Низкая зарплата
Передовой стек
Трендовый домен
Четкие задачи
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Scientist, RL for Autonomous Planning & World Modeling (AI): Researching and developing reinforcement learning and distillation techniques for autonomous vehicle trajectory planning, with an accent on foundation world models, scalable training, and rigorous evaluation. Focus on post-training world models, integrating emerging research into distributed RL infrastructure, and scaling inference and training across many machines.
Location: On-site in Mountain View, San Francisco, New York City, or Kirkland, United States. The role is described as hybrid, and remote availability depends on the specific location.
Salary: $204,000–$259,000 USD per year, plus eligibility for an annual bonus and equity incentive plan.
Company
Waymo develops autonomous driving technology and the Waymo Driver for fully autonomous ride-hail services and other vehicle platforms.
What you will do
Participate in foundation world model post-training and evaluation.
Research and develop reinforcement learning and distillation techniques for autonomous vehicle trajectory planning.
Integrate emerging AI research into internal reinforcement learning infrastructure.
Conduct rigorous ablation studies to identify and scale promising methods.
Collaborate with engineering and research teams across Waymo on post-training practices and technical methods.
Requirements
PhD or master’s degree in computer science, machine learning, robotics, or a related technical field.
3+ years of industry or postdoctoral research experience in reinforcement learning or foundation models.
Original contributions demonstrated through high-impact publications, technical blog posts, or significant open-source work.
Proficiency implementing scalable, distributed, and performant model-training flows, including data parallelism and FSDP.
Willingness to work with the complexity of globally distributed inference infrastructure.
Nice to have
Research focus on reinforcement learning, foundation models, or multimodal learning.
Experience designing and deploying reinforcement learning infrastructure for on-policy learning or alignment with human preferences.
First-author publications at top-tier venues or significant open-source machine learning projects.
Experience with large-scale training infrastructure, model sharding, or tensor-parallel inference.
Culture & Benefits
Health, dental, vision, life, and disability insurance for eligible US-based employees.
401(k) retirement benefits with company matching.
Paid vacation, sick time, holidays, maternity leave, and baby bonding leave.
Collaboration with research teams across Waymo and Alphabet.
Access to discretionary bonus and equity incentive programs, subject to eligibility.
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