Manager, Onboard Behavior Encoder

Zoox

Manager developing deep learning models leveraging large scale data for autonomous driving. Collaborating with cross-functional teams to produce a safe and efficient ML driver.

Posted 7/15/2026full-timeFoster City • California • 🇺🇸 United StatesMid-LevelSenior💰 $277,000 - $349,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Reinforcement Learning and Machine Learning, with a strong focus on developing and managing production Machine Learning pipelines. Proven ability to lead teams, mentor individuals, and drive continuous improvement through effective resource allocation and performance measurement.

Highest-signal resume keywords

Reinforcement LearningMachine LearningProduction Machine Learning PipelinesTeam LeadershipAlgorithm Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Reinforcement LearningMachine LearningAlgorithm DesignMathematicsModel TrainingModel InferenceKPI MonitoringContinuous ImprovementPlanningRecommendation Systems

Soft Skills

MentoringTeam ManagementCollaborationInnovation

Certifications & Qualifications

MS Degree in Computer SciencePhD Degree in Computer Science

Industry Keywords

Autonomous VehicleDriving PlansLarge Scale ModelsPartner TeamsResource Allocation

About the role

Key responsibilities & impact

Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement.
Develop and organize our overall strategy for Onboard Behavior ML Models for generating driving plans for our autonomous vehicle. You will interface with multiple partner teams to identify opportunities for model improvements within their problem area.
Provide technical guidance and leadership in the design and development of training models at large scale and work with partner teams on ensuring their efficient inference.
Establish and monitor key performance indicators (KPIs) to measure the effectiveness of work packages and drive continuous improvement.
Manage the allocation of resources within the team, ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed.

Requirements

What you’ll need

Expertise with Reinforcement Learning and Machine Learning for at least one of these areas: Planning, LLMs, VLAs/VLMs, recommendation systems.
Extensive experience with programming and algorithm design, strong mathematics skills.
MS or PhD degree in computer science or related field.
5+ years of experience with production Machine Learning pipelines, with at least 3 years in a leadership or management role.

Benefits

Comp & perks

Health insurance
Long-term care insurance
Long-term and short-term disability insurance
Life insurance
Paid time off (e.g. sick leave, vacation, bereavement)
Unpaid time off
Zoox Stock Appreciation Rights
Amazon Restricted Stock Units (RSUs)