Join Waymo as a Machine Learning Engineer to enhance simulation realism in autonomous driving technologies.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 7 hours ago
Skills & Technologies
Requirements
- Experience
- 3+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the Machine Learning Engineer focuses on enhancing simulation realism to improve the performance of autonomous driving systems. Proficiency in machine learning frameworks, data analysis, and simulation tools is essential for success. This position is ideal for experienced engineers with a strong background in AI and a passion for advancing self-driving technology. Waymo's innovative environment fosters collaboration among experts dedicated to pushing the boundaries of autonomous vehicle capabilities.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 5, 2026. Last confirmed on Waymo's careers page October 27, 2026.
- This exact title is also open at 1 other location at Waymo: Mountain View, CA, USA.
- Python appears in 47.2% of 833 comparable mid ai/ml roles; Simulation appears in 0.6% of 833 comparable mid ai/ml roles.
Quick facts
- Is the Machine Learning Engineer, Simulation Realism role remote?
- It's hybrid — Waymo expects some on-site time in Mountain View, CA, USA.
- How much experience is required?
- At least 3 years of relevant experience for this Machine Learning Engineer, Simulation Realism role.
- Where is the role based?
- Waymo is hiring for this position in Mountain View, CA, USA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Machine Learning, Python, Simulation.
- What seniority level is this role?
- Waymo targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Machine Learning Engineer, Simulation Realism role at Waymo.