Senior Staff Machine Learning Engineer Perception

You will develop real-time perception models for obstacle and terrain understanding. You will build camera and LiDAR fusion for robust 3D and BEV representations, optimize models for low-latency embedded inference, create auto-labeling and evaluation pipelines, and analyze performance metrics to improve perception accuracy, efficiency, and safety.

Responsibilities

• Develop real-time perception models for obstacle and terrain understanding
• Build camera and LiDAR fusion for unified 3D and BEV representations
• Optimize models for low-latency inference on resource-constrained hardware
• Design auto-labeling pipelines using foundation models and teacher-student distillation
• Design data and evaluation pipelines for multi-sensor datasets
• Build visualization and debugging tooling
• Analyze performance metrics and improve perception algorithms

Requirements

• MS or PhD in Computer Science, AI, or a related field, or 6+ years building vision-based perception systems
• Expertise in detection, segmentation, depth, BEV, occupancy, sensor fusion, and 3D scene understanding
• Experience adapting, fine-tuning, and distilling vision and vision-language models
• Experience with camera, LiDAR, and radar integration
• Experience handling datasets for labeling, training, and evaluation
• Fluency in Python, PyTorch, TensorFlow, and OpenCV
• Experience writing production-ready code for real-time systems
• Ability to design experiments and analyze perception performance and calibration metrics

Benefits

• 100% covered medical, dental, and vision insurance for the employee
• Commuter benefits
• Flexible Spending Account or Health Savings Account
• Life insurance
• Short-term and long-term disability insurance
• 401k plan
• Stock options