Zoox’s Machine Learning Infrastructure team operates in the intersection of build engineering, internal software development, and applied ML research. We maintain the base layer of ML tools, deep learning frameworks, and inference libraries used by the research teams, add additional features, tooling, automation, and applications, and improve ML models in collaboration with the applied research teams. We advocate for strong software engineering fundamentals with our customer teams. We catalog the features, quirks, limitations, and bugs present in the systems we maintain so that we can best advise our customer teams when they encounter them.
Zoox is currently hiring for manager roles for both the Training and Inference subteams of the Machine Learning Infrastructure team.
As a Manager on the ML Infra team you will lead software engineers, acting as a force multiplier for the applied research teams. Balancing internal priorities, external requests, and unscheduled work is a key responsibility. Typical team tasks include library/package upgrades, application development, embedding ML Infra SWEs into customer teams to accelerate multi-month projects, and ad-hoc debugging support.
You will be responsible for hiring for and maintaining the health of your ML Infra subteam. You will help to grow and coach your direct reports and support the continued success of their careers.
Mentor, coach, and advocate for your direct reports
Expand the team by participating in all stages of the hiring process
Plan work streams and coordinate projects with customer teams
Align goals and progress with Zoox milestones
Experience growing and managing small teams
Strong communication skills
A servant leadership mindset
Demonstrated ability to prioritize development work and build cross-functional consensus
Software engineering skills with experience in Python and/or C++
Familiarity with the ML model lifecycle, including data mining, training, and deployment/inference
Experience with Tensorflow, PyTorch or similar training frameworks
Experience with ONNX, TensorRT, or similar inference frameworks
Experience with Bazel or similar build tooling
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 $221,000 to $319,000. 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.
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.
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.