In this role, you will...
- Develop machine learning algorithms for Bird’s Eye View scene analysis and real-time hazard detection.
- Design and implement scene understanding solutions specifically for Zoox's unique bidirectional vehicle.
- Lead the end-to-end data strategy—including mining, auto-labeling, and dataset construction—to keep our ML models improving.
- Implement on-vehicle software for model inference and result post-processing that runs reliably in real-time.
- Use our large-scale data pipelines and infra to research, prototype, and deploy changes that directly improve how the vehicle handles complex road scenarios.
- Team up with Perception, Prediction, and Planning. teams to integrate your signals into the final driving solution.
Qualifications
- BS, MS, or PhD in Computer Science, Robotics, or a related field with 2+ years of industry experience training and deploying ML models.
- Experience with BEV (Bird’s Eye View) models, segmentation, or 3D representations.
- Hands-on experience with the full lifecycle: dataset construction, training frameworks, and building metrics pipelines to evaluate performance.
- A strong mathematical foundation in linear algebra, calculus, and probability.
- Fluency in C++ and Python. Experience with PyTorch, TensorFlow, JAX.
Bonus Qualifications
- Track record of designing novel neural network architectures or working with probabilistic outputs.
- Experience working on autonomous systems or integrating ML models into a robotics stack.
- Publications in top-tier conferences like CVPR, ICCV, ECCV, RSS, or ICRA.
Top Skills
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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