Senior Machine Learning Engineer (Perception)

Join our team as a Senior Machine Learning Engineer (Perception) and play a central role in designing scalable perception algorithms for autonomous driving and 3D scene understanding. You will be responsible for developing Bird's Eye View (BEV) fusion models using multimodal sensor inputs, benchmarking perception models, collaborating with cross-functional teams, and ensuring compliance with the company's Quality Management System. Enjoy unlimited paid time off, flexible working arrangements, health benefits, equity options, professional development opportunities, and daily catered lunches.

• Design, implement, and optimize Bird’s Eye View (BEV)-based perception models that fuse data from camera, LiDAR, and radar sensors.
• Benchmark perception models using large-scale datasets and well-defined quantitative metrics, ensuring performance, robustness, and scalability.
• Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications.

• Deep understanding of multimodal sensor fusion architectures and techniques
• Strong expertise in PyTorch, TensorFlow, or JAX
• Proven experience with LiDAR-based 3D perception and BEV representation models
• Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field
• Solid foundation in computer vision, deep learning, and 3D geometry
• Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines
• Ph.D. new grad or Masters + 3 years industry experience
• Proficiency in Python and experience building deep learning pipelines
• Industry or academic experience in autonomous vehicle perception, robotics, or related areas
• Experience with distributed training, high-performance computing, or GPU acceleration
• Hands-on experience developing deep learning models in real-world or production environments