Director of ML Infrastructure

Number of employees

4100

Foster City, CA, United States

Posted on: 2023-04-18

Category: emobility

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Expired

Employment type:

Full time

Experience required:

Director

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.


Join us at Zoox, where cutting-edge technology meets the open road. We are revolutionizing transportation and shaping the future of mobility, and as the Director of Machine Learning Infrastructure you’ll be at the forefront of our mission to redefine the way we live and travel.

We are seeking a visionary and results-driven Director of Machine Learning Infrastructure to lead our expanding engineering team. In this role, you will be responsible for the organization tasked with architecting, scaling, and optimizing the machine learning infrastructure powering our autonomous driving systems. Your expertise in scaling large software systems, experience with the public cloud, and ability to build and nurture high-performing engineering teams will be critical to our success.

Compensation
There 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 $272,000 to $415,000. 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 Mandate
Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

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.

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.


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.

Key Responsibilities

  • Develop and execute a strategic vision for our machine learning infrastructure, ensuring scalability, reliability, and performance to support our autonomous vehicle operations.
  • Lead the design, implementation, and operation of a robust and efficient infrastructure that enables the training, validation, deployment, and monitoring of machine learning models.
  • Collaborate closely with cross-functional teams, including machine learning scientists, software engineers, and data engineers, to define infrastructure requirements and align on architectural decisions.
  • Drive the adoption of best practices in software engineering and infrastructure automation to increase efficiency and streamline development processes.
  • Attract, hire, and inspire a world-class engineering team, fostering a culture of innovation, collaboration, and excellence.
  • Provide technical leadership and guidance to team me
  • Qualifications

  • Bachelor's or advanced degree in Computer Science, Engineering, or a related field.
  • Proven track record of successfully scaling large software systems, preferably in a high-growth environment.
  • Extensive experience with public cloud platforms (e.g., AWS, Azure, GCP) and deep knowledge of cloud-native technologies and services.
  • Excellent leadership skills with a demonstrated ability to build and manage high-performing engineering teams.
  • Effective communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
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