Senior Engineering Manager, ML Platform

Zoox

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profile Job Location:

Foster, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary


Our growing Software Infrastructure engineering leadership team is looking for a Senior Engineering Manager ML Platform. The centralized ML Platform team at Zoox plays a crucial role in enabling innovations across all our Autonomy and Data Science teams to develop and deploy models across our robotaxi and cloud infrastructure and to work on cutting-edge training and inference optimization techniques.

The Opportunity
We are working on many interesting challenges to enable rapid experimentation and scale our multi-modal Foundation models and RL infrastructure and ensure these models run efficiently on our vehicles meeting our latency targets. You will get to work across all ML teams within Zoox - Perception Prediction Planner Simulation Collision Avoidance and our Advanced Hardware Engineering group and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.

We build and operate the base layer of ML tools deep learning frameworks and inference libraries used by our applied research teams for in- and off-vehicle ML use cases. You will lead a team of strong software engineers and managers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our ML Infrastructure here is one of our past talks at re:Invent.

In this role you will:

    • Vision: Develop and execute a strategic vision for our ML training platform ensuring scalability reliability and performance to support large-scale Foundation and RL models.
    • 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 cross-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

    • 10 years of relevant experience including 4 years of management experience managing other managers and engineers.
    • Experience building user-friendly ML Infrastructure that enabled large-scale model training and high-throughput low-latency serving use cases.
    • Experience with training frameworks like PyTorch JAX etc. leveraging GPUs for distributed model training.
    • Experience with GPU-accelerated inference using TensorRT Ray Serve or similar frameworks.
$317000 - $370000 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 candidates 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. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


Accommodations
If you need an accommodation to participate in the application or interview process please reach out to emailprotected or your assigned recruiter.

A Final Note:
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.

Required Experience:

Manager

Zoox is on a mission to reimagine transportation and build autonomous robotaxis from the ground up that are safe reliable clean and enjoyable for everyone. With bidirectional driving capabilities and four-wheel steering our vehicle allows us to maneuver through compact spaces and change directions w...
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Key Skills

  • Data Center Experience
  • ArcGIS
  • Cloud Infrastructure
  • Construction Estimating
  • Go
  • Mathcad
  • React
  • Redux
  • AWS
  • Software Development
  • Auto Estimating
  • Distributed Systems

About Company

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We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.

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