Staff, Machine Learning Engineer - BEV/Multi-Modal Perception

This role will shape advanced perception capabilities for autonomous vehicle systems, with a focus on bird’s-eye-view modeling and multi-modal sensor fusion. You will lead model development efforts that combine data from multiple sensing modalities to improve scene understanding, robustness, and reliability in complex driving environments. The position partners closely with cross-functional engineering teams to integrate performant ML solutions into a broader autonomous technology stack., * Lead development of BEV-based perception models across multiple tasks

• Design architectures that fuse data from cameras, LiDAR, radar, and HD maps
• Develop foundational perception models using advanced techniques such as BEV transformers
• Own large-scale training workflows, including data strategy and hyperparameter optimization
• Improve model robustness in challenging conditions such as occlusions and low visibility
• Establish evaluation frameworks for model performance and accuracy
• Collaborate with cross-functional teams to ensure cohesive model integration
• Mentor ML engineers and promote best practices in experimentation and model validation

• 10+ years of experience in deep learning for perception, 3D vision, or autonomous systems
• M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or equivalent practical experience
• Proven expertise in BEV modeling and multi-view fusion
• Strong background in multi-modal sensor fusion, especially camera and LiDAR integration
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
• Experience with large-scale data pipelines and distributed training
• Demonstrated leadership in ML model innovation and team mentoring

• 100% paid medical, dental, and vision premiums for full-time employees
• 401K plan with a 6% employer match
• Flexible scheduling and immediate generous paid vacation
• Company-wide holiday office closures
• AD+D and Life Insurance

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.