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Machine Learning Engineer, Fleet Monitoring & Response

Join Waymo as a Machine Learning Engineer to enhance fleet monitoring and response systems.

Location
San Francisco, CA
Compensation
Not disclosed
Level
mid
Type
full time · Hybrid

Posted by employer 3 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 3 hours ago

Apply at Waymo → Save job Scanned from waymo.com

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

Quick facts

Is the 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 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 Machine Learning Engineer, Fleet Monitoring & Response role at Waymo.

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