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Manager, RL Algorithms & Decoder

Zoox
Full Timemid
Foster City, CAPosted 23 days ago

Role Overview

Zoox is hiring a mid-level Manager, RL Algorithms & Decoder. This is a full-time role in Foster City. posted 3 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Resume Keywords to Include

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OnboardBehaviorModelArchitectureMLInPerceptionCost

Job description

The Onboard Behavior Model Architecture team is responsible for developing deep learning models that leverage data and compute at large scale to train driving models. We learn and predict behaviors from large scale expert data and large scale reinforcement learning to produce a ML driver that is safe, comfortable, and completes the mission. In this role, you will collaborate closely with the Onboard Perception, Cost Planner, Simulation, Validation, Data Science, Systems Engineering, QA, and ML Infra teams.

About Zoox

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Zoox

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Frequently Asked Questions

How do I apply for the Manager, RL Algorithms & Decoder position at Zoox?

Use the Apply button above to submit your application directly to Zoox. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Manager, RL Algorithms & Decoder position at Zoox located?

This position is based in Foster City. Zoox has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Manager, RL Algorithms & Decoder at Zoox earn?

Zoox has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Manager, RL Algorithms & Decoder role at Zoox posted?

This role was posted on June 30, 2026 (23 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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