Join Waymo as a Machine Learning Engineer to enhance fleet monitoring and response systems.
Posted by employer 5 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 16 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 developing and optimizing algorithms for fleet monitoring and response systems. Proficiency in machine learning frameworks, data analysis, and programming languages such as Python and TensorFlow is essential. This position is ideal for experienced engineers with a strong background in AI and a passion for improving autonomous vehicle technology. Waymo's innovative environment offers the opportunity to work on cutting-edge projects in the rapidly evolving field of transportation.
Joblaze insights
- Listed about 2 months ago — first seen on Joblaze September 5, 2026. Last confirmed on Waymo's careers page November 10, 2026.
- Python appears in 47.4% of 820 comparable mid ai/ml roles; Data Analysis appears in 0.6% of 820 comparable mid ai/ml roles.
Quick facts
- Is the Senior Machine Learning Engineer, Fleet Monitoring & Response role remote?
- It's hybrid — Waymo expects some on-site time in San Francisco, CA.
- How much experience is required?
- At least 3 years of relevant experience for this Senior Machine Learning Engineer, Fleet Monitoring & Response role.
- Where is the role based?
- Waymo is hiring for this position in San Francisco, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Data Analysis, Kubernetes, Machine Learning, Python, TensorFlow.
- What seniority level is this role?
- Waymo targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Machine Learning Engineer, Fleet Monitoring & Response role at Waymo.