In this role, you will:
Lead a Team: Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement.
Develop Strategy: 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. You’ll be setting the short and long term technical direction for the team and collaborate on broader company-wide directions.
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.
Monitor Performance: Establish and monitor key performance indicators (KPIs) to measure the effectiveness of work packages and drive continuous improvement.
Manage Resources: 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
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.
Bonus Qualifications
Conference or Journal publications in Machine Learning or Robotics related venues.
Prior experience working with autonomous vehicles or robotics, diffusion models, large scale training.
Skills Required
- Expertise with Reinforcement Learning and Machine Learning (areas: Planning, LLMs, VLMs/VLAs, 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.
- At least 3 years in a leadership or management role.
- Conference or journal publications in Machine Learning or Robotics venues.
- Prior experience with autonomous vehicles or robotics, diffusion models, or large-scale training.
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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