Senior / Staff Machine Learning Engineer - Scene Intelligence
TECHNICAL STACK · 4 TAGS
OVERVIEW
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 advanced Vision-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.
IN THIS ROLE, YOU WILL...
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Design and train Vision-Language-Action (VLA) solutions for robotaxis
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Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel
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Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.
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Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior
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Partner with cross-functional teams to integrate perception signals
QUALIFICATIONS
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MS or PhD in Computer Science or related field
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Background in deep learning solutions for VLM and VLA models
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Track record in post-training large-scale models, CPT, SFT, RL
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Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics
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Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM)
BONUS QUALIFICATIONS
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Deep knowledge of cutting-edge computer vision techniques
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Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
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Experience with integrating large language models to various tasks.
REQUIREMENTS
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.
QUESTIONS AND ANSWERS
- How much does the Senior / Staff Machine Learning Engineer - Scene Intelligence at Zoox pay?
- The posting lists a range of $189K–$290K per year. Ranges reflect what Zoox publicly declared on the source posting.
- Where is this Senior / Staff Machine Learning Engineer - Scene Intelligence role based?
- The role is based in Foster City, CA.
- What experience does Zoox expect for this role?
- The posting is tagged as a lead-level role, typically 7+ years of experience. Check the requirements section for specifics.
- Where is Zoox headquartered?
- Zoox is headquartered in Foster City, USA.
- How was this posting sourced?
- This role was pulled directly from Zoox's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
Apply links open in the employer's official ATS. Always verify recruitment messages on the company's careers page before sharing personal information.