Staff Machine Learning Engineer BEV Multi Modal Perception

Skills

About the Role

You will lead the technical roadmap for BEV perception models and design multi-modal architectures that combine camera, LiDAR, radar, and map data. You will own training and evaluation workflows, improve model robustness, collaborate on perception interfaces, mentor engineers, and advance 3D-perception research.

Requirements

• 10+ years of experience in deep learning for perception, 3D vision, or autonomous systems
• Master’s degree or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent practical experience
• BEV modeling
• 3D scene understanding
• Multi-view fusion
• Multi-modal sensor fusion
• Camera and LiDAR integration
• Python
• PyTorch
• TensorFlow
• Large-scale data pipeline
• Distributed training
• Experiment management
• Technical leadership
• Mentoring

Responsibilities

• Lead the technical roadmap for BEV-based perception models
• Design multi-modal architectures that fuse camera, LiDAR, radar, and HD map data
• Develop foundational perception models
• Own data sampling, augmentation, distributed training, and hyperparameter optimization workflows
• Improve model robustness and generalization for long-tail conditions
• Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer
• Collaborate with sensor calibration, mapping, and fusion functions
• Mentor machine learning engineers
• Explore self-supervised learning, pretraining, and foundation models for 3D perception

Benefits

• Bonus component
• Stock options
• 100% paid medical, dental, and vision premiums for full-time employees
• 401K plan with a 6% employer match
• Flexible schedule
• Generous paid vacation available immediately after start date
• Company-wide holiday office closures
• AD+D insurance
• Life insurance