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Machine Learning Engineer, Runtime & Optimization

Join Waymo as a Machine Learning Engineer focusing on runtime and optimization in a hybrid work environment.

Location
Mountain View, California, USA
Compensation
Not disclosed
Level
mid
Type
full time · Hybrid

Posted by employer 1 year ago

First seen on Joblaze 1 week ago

Last verified on the company career page 3 days 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 enhancing runtime performance and optimization of machine learning models. Proficiency in programming languages such as Python and experience with frameworks like TensorFlow or PyTorch are essential for success. This position is ideal for candidates with a strong background in machine learning and software engineering, particularly those at an intermediate to senior level. Waymo's innovative environment offers the opportunity to work on cutting-edge technology in the autonomous vehicle sector.

Joblaze insights

Quick facts

Is the Machine Learning Engineer, Runtime & Optimization role remote?
It's hybrid — Waymo expects some on-site time in Mountain View, California, USA.
How much experience is required?
At least 3 years of relevant experience for this Machine Learning Engineer, Runtime & Optimization role.
Where is the role based?
Waymo is hiring for this position in Mountain View, California, USA.
What's the tech stack?
Joblaze extracted these technologies from the posting: Machine Learning, Optimization.
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, Runtime & Optimization role at Waymo.

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