Sr. Computer Vision / Machine Learning Engineer

We are hiring Computer Vision / Machine Learning Software Engineers to build compute-constrained models for deployed robots. You will tackle diverse technical challenges with sensor data. This is a hybrid role in Mountain View, CA.

• Develop solutions for advanced computer vision tasks including monocular and stereo depth estimation, learning-based structure-from-motion, 3D occupancy networks, scene understanding, and object detection.
• Optimize performance, accuracy, and speed of compute-constrained models.
• Collaborate across teams to deploy CV/ML models into production.
• Improve ML pipelines and infrastructure for dataset management, training, and deployment.
• Participate in R&D initiatives (20% of time) to experiment with state-of-the-art techniques.
• Drive business value by leveraging work across robotics, software, and deployment teams.

• 5+ years of industry experience in Computer Vision / Machine Learning, Python/PyTorch.
• Expertise in 2D and 3D computer vision techniques.
• Proficiency with Linux, Git, AWS/GCP, and CI/CD workflows.
• Experience in performance engineering for deep neural networks (both training and inference).
• Knowledge of model optimization techniques for embedded systems, including knowledge distillation, model quantization, and network pruning.