Engineering Manager, ML Platform (Training)

Posted 15 Days Ago
Be an Early Applicant
Foster City, CA
Hybrid
185K-303K Annually
7+ Years Experience
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
As the Engineering Manager for the ML Platform at Zoox, you will develop and execute a strategic vision for the ML training infrastructure, leading a team of engineers and collaborating with cross-functional teams. You'll ensure the platform's scalability, reliability, and performance and mentor staff while managing the lifecycle of ML models and associated tools.
Summary Generated by Built In

Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible. 


The Opportunity

Are you excited to manage our ML Training Infrastructure that enables autonomous driving? You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, etc. and our Advanced Hardware Engineering group and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.


This team builds and operates the base layer of ML tools, deep learning frameworks, model repository and model lifecycle management tools used by our applied research teams for in- and off-vehicle ML use cases. You will lead a team of strong software engineers and act as a force multiplier for our internal customers. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here.

In this role, you will

  • Vision: Develop and execute a strategic vision for our ML training platform ensuring scalability, reliability, and performance to support our autonomous vehicle operations.
  • Technical acumen: Lead the design, implementation, and operation of a robust and efficient ML training platform to enable the training, experimentation, validation, and monitoring of ML models.
  • Hiring: Attract, hire, and inspire a diverse world-class engineering team, fostering a culture of innovation, collaboration, and excellence.
  • Partnership: Collaborate closely with x-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers to define requirements and align on architectural decisions.
  • Mentorship: Enable the engineers in the team to grow their careers by providing the right opportunities along with clear and timely feedback.

Qualifications

  • 8+ years of total experience, including 3+ years of engineering management experience.
  • Excellent leadership skills with a demonstrated ability to build and manage high-performing engineering teams.
  • Experience enabling large-scale, high throughput and distributed model training infrastructure.
  • Experience with training frameworks like PyTorch, Hugging Face, Ray, JAX, etc., leveraging GPUs, TPUs, or Trainium.
  • Experience building model lifecycle management tools and managing AWS costs for our ML needs.

CompensationThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $185,000 to $303,000. A sign-on bonus may be offered as part of the compensation package. 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.


Vaccine MandateEmployees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

Top Skills

Hugging Face
Jax
PyTorch
Ray
The Company
HQ: Foster City, CA
2,500 Employees
Hybrid Workplace
Year Founded: 2014

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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