Senior Machine Learning Perception Engineer - Fallback Driving System

Qualifications

• BS, MS, or PhD in Machine Learning, Robotics, Computer Science, or a related technical field; or equivalent practical experience building ML perception systems.
• 3–5 years of experience developing ML solutions in perception, prediction, and/or autonomous driving or related domains.
• Strong experience with multi‐modal sensor data (camera, lidar, radar), including data preprocessing, synchronization, and fusion.
• Deep expertise in modern deep learning for perception, such as convolutional and transformer‐based architectures for:
• 2D/3D object detection
• Semantic and instance segmentation
• Multi‐object tracking and motion prediction
• Proficiency in at least one major ML framework (e.g., PyTorch, TensorFlow, JAX) and Python for model development, training, and analysis.
• Solid software engineering skills, including experience working in C++ or similar languages in large, collaborative codebases.
• Demonstrated ability to define ML metrics, design experiments, and systematically improve model performance and robustness.
• Strong problem‐solving, communication, and cross‐functional collaboration skills.
• Self‐motivated, with a passion for autonomous driving technology and its potential impact on safety and mobility.
• Nice to have
• Experience deploying ML models on embedded or resource‐constrained platforms, including model optimization and performance tuning for real‐time inference.
• Experience with AV/ADAS perception stacks, robotics, or ROS.
• Familiarity with safety‐critical systems and development practices.
• Experience with large‐scale data pipelines, labeling workflows, and experiment management for ML.
• Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.
• Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.