Machine Learning Engineer - Perception Mapping

Job Description

Job Description

The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems.

As a software engineer on the perception mapping team, you will be a key contributor to Zoox’s online mapping initiative. You will design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world. Your work will touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox.

In this role, you will:

• Curate, validate, and label datasets for model training and validation
• Research, implement, and train ML models to perform semantic map element detection
• Closely collaborate with validation teams to formulate and execute model validation pipelines
• Integrate models into the greater onboard autonomy system within compute budgets
• Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions

Qualifications:

• MS or PhD or equivalent experience (5+ years) in Computer Science or related field
• Experience in computer vision or robotics
• Experience with training and deploying deep learning models
• Experience with with Python libraries (pytorch, numpy)

Bonus Qualifications:

• Experience with C++
• Experience with CUDA and/or GPU programming
• Experience with mapping related ML techniques

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 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.

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.