Senior Machine Learning Engineer - Perception

Zoox; Boston (MA); On-site; USD 242,000 - 290,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Stock appreciation rights

Long-term care insurance

Job summary

Zoox is seeking a Perception Engineer in Boston, Massachusetts, to design and implement advanced detection models using fused sensor data for autonomous vehicles. The role involves training ML models, collaborating with teams, and documenting outcomes to deploy models in Zoox robots. Candidates should have a MS/PhD in Computer Science, experience with ML frameworks like PyTorch, and strong collaboration skills. The salary range is $242,000 - $290,000, complemented by benefits including health insurance, RSUs, and paid time off.

Qualifications

• MS/PhD in Computer Science or a related field.
• Experience with PyTorch or related ML frameworks.
• Experience deploying learned models into production.
• Excellent collaboration and teamwork skills.

Responsibilities

• Train ML models and incorporate SOTA approaches.
• Document experimental outcomes for deploying models.
• Visualize data inputs and outputs for problem understanding.
• Collaborate with teams to ensure project success.

Skills

Collaboration and teamwork skills

Machine Learning model training

Experience with PyTorch

Education

MS/PhD in Computer Science or related field

Tools

ML frameworks

Job description

As a Perception Engineer, you will be instrumental in designing and implementing cutting-edge detection models, utilizing fused sensor data. In particular, the role will be on advanced projects that are aimed at the next generation of driving software, including looking at joint detection and tracking models as well as ways to send rich embeddings to downstream models to relay semantic meaning and capture uncertainty.

This role offers a unique opportunity to directly impact Zoox's expansion into new areas. By developing more generalizable and adaptable models, you will help us navigate diverse and challenging circumstances, accelerating our mission to deliver safe and reliable autonomous mobility. We are looking for a highly motivated individual passionate about pushing the boundaries of perception in the autonomous vehicle space.

In this role, you will:

• Train ML models, perform various studies into incorporating SOTA approaches as well as ablations/modifications of existing models
• Document experimental outcomes and drive towards deploying these models into Zoox robots
• Visualize your data at the input and output to understand the issues
• Collaborate with teams such as ML optimization, data labeling, metrics and planner to ensure project is successful for Zoox releases

Qualifications

• MS/PhD in Computer Science or related field
• Experience with PyTorch or related ML frameworks
• Experience deploying learned models into production
• Excellent collaboration and teamwork skills with proven track record of working on large-scale problems

Bonus Qualifications

• Prior experience in the AV or related space with joint detection and tracking models
• Deep understanding of how to setup end-to-end training and evaluation processes

$242,000 - $290,000 a year

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 (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.

Accommodations

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

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.