The System Behavior Analysis team is responsible for helping understand and triage failures encountered by our robots on the road. Within System Behavior Analysis, the Behavioral Automated Triage team is a subgroup focused on building end-to-end machine learning, deep learning, and data pipelines for improving our triage workflows.

As a Machine Learning Automation Engineer on the Behavioral Automated Triage team, you will interrogate data at scale, perform data engineering, leverage deep learning models (i.e. foundation models and language models), and respond to the evolving data needs at Zoox.

In this role, you will:

Design, develop, and improve machine learning/deep learning-based algorithms on large-scale data to automate test and triage work processes

Work across various technical disciplines involving data science, machine learning, autonomous drive planning, and quality assurance

Build tools and infrastructure to monitor the performance of your algorithms in production and use those tools to improve their performance continuously

Qualifications:

Master's Degree in STEM field and 5+ years of experience involving machine learning, natural language processing, or deep learning

A strong background in algorithms, data structures, and data manipulation

Proficiency in one of the following languages: Python, Scala, Pyspark

Experience with Deep Learning packages like PyTorch, TensorFlow, and HuggingFace transformers

Experience with cloud computing platforms and frameworks such as DataBricks and AWS

Bonus Qualifications:

PhD in STEM field and 2+ years of research experience involving machine learning, natural language processing, or deep learning are highly preferred

Experience with data visualization tools like Looker/Dash/Databricks Dashboards

Experience in autonomous driving, robotics, or academic science

Additional Information

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 $165,000 to $205,000. 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.

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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

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.