Software Engineer - Perception / Mapping Data

In this role, you will:

• Design and build a high-quality, large-scale mapping dataset and data pipelines for training and evaluating machine learning models

• Design and build tools for model performance benchmarking and introspection

• Collaborate closely with machine learning engineers to define and refine data curation and model training strategies that drive measurable improvements in model accuracy and performance.

• Collaborate cross-functionally with a variety of teams working on things such as perception, planning, prediction, simulation, etc

Qualifications:

• BS or MS in Computer Science or related field and 3+ years of experience

• Proficient in Python, TypeScript, React

• Experience with large-scale, multi-modal datasets, and web tooling for model benchmarking and introspection

• Ability to identify, clean, and process datasets containing high levels of noise or ambiguous classifications

Bonus Qualifications:

• Proficient in C++

• Experience in computer vision, machine learning algorithms

• Knowledge of geospatial data and coordinate systems

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.

Follow us on LinkedIn

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.