Join Waymo as a Research Scientist focusing on Reinforcement Learning for Autonomous Planning and World Modeling.
Posted by employer 2 weeks ago
First seen on Joblaze 1 week ago
Last verified on the company career page 3 days ago
Skills & Technologies
Requirements
- Experience
- 3–5 years
- Education
- PhD
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Research Scientist focuses on developing algorithms for reinforcement learning that enhance autonomous planning and world modeling. Proficiency in machine learning, programming, and data analysis is essential, along with a strong foundation in robotics or artificial intelligence. This position is ideal for experienced professionals with a background in research and a passion for advancing autonomous systems. Waymo's innovative environment fosters collaboration among experts in the field, driving cutting-edge advancements in self-driving technology.
Joblaze insights
- Listed 7 days ago on Joblaze — tracked directly from Waymo's career page.
- Waymo has 349 other open roles including Machine Learning Engineer - Mapping, Research Scientist, Map Scalability, Recruiter.
- 132 active reinforcement learning roles on Joblaze right now.
- 2 active autonomous planning roles on Joblaze right now.
- Typical reinforcement learning salary we track runs $151,500–$350,000 (median $228,800, across 63 roles).
Quick facts
- How much experience is required?
- 3–5 years of relevant experience for this Research Scientist, RL for Autonomous Planning & World Modeling role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: World Modeling, autonomous planning, reinforcement learning.
- What seniority level is this role?
- Waymo targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Scientist, RL for Autonomous Planning & World Modeling role at Waymo.