Senior / Staff Machine Learning Engineer - Scene Intelligence

•

•

Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel

•

Lead the full post-training stack for VLMs and VLAs, including C ontinual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.

•

Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior

•

•

MS or PhD in Computer Science or related field

•

Background in deep learning solutions for VLM and VLA models

•

Track record in post-training large-scale models, CPT, SFT, RL

•

Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics

•

•

•

Experience with integrating large language models to various tasks.

The Perception team at Zoox creates the "eyes and ears" of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects—all in real-time and with exceptional accuracy.

As an engineer in the Scene Understanding team, you will develop advancedVision-Language-Action (VLA) models that perceive our vehicle's surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency.

Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions.

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 accommodations@zoox.com 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.