Manager, ML Planner

The Offline Driving Intelligence team is responsible for developing machine learning algorithms that leverage data at large scale to train driving models. On the behaviors and planning team we learn and predict behaviors from large scale expert data and large scale reinforcement learning. This Offline Driving Intelligence team can leverage provided setups such as extended memory, flexible time and access to privileged information. The solutions developed are used in offline applications and to influence onboard decisions. This team is also building intelligent driving agents and dense driving metrics. In this role, you will collaborate closely with the Onboard Planning, Simulation, Perception, Validation, Data Science, Systems Engineering, QA, and ML Infra teams.

In this role, you will :

• Team Leadership : Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement.
• Strategy Development : Develop and organize our overall strategy for Offline ML Models for planning, behaviors and agents. You will interface with multiple partner teams to identify opportunities for model adoption within their problem area. You'll be setting the short and long term technical direction for the team and collaborate on the broader company-wide directions.
• Technical Oversight : 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.
• Performance Monitoring : Establish and monitor key performance indicators (KPIs) to measure the effectiveness of optimization strategies and drive continuous improvement.
• Resource Management : 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.

Qualifications :

Bonus Qualifications

$242,000 - $333,000 a year

Base Salary Range

There are three major components to compensation for this position : salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note :

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.