Staff Tech Lead, Machine Learning Engineer, Perception
Core
Lead the design and development of multi-sensor, multi-task model architectures for dense and complete scene understanding, focusing on object detection, occupancy prediction, road understanding, and trajectory planning for autonomous driving.
Role type
Staff Tech Lead, Machine Learning Engineer (Perception)
Builds
Foundational modeling libraries, scalable core model components (sensor encoders, fusion modules, backbones), and flexible pipelines for rapid prototyping of novel model designs.
Domain
Autonomous driving, Computer Vision, Deep Learning
Deliverable
production ML models
Required skills
Python, C++, Machine Learning, Computer Vision, PyTorch, JAX, Tensorflow, Model Architecture Design, Sensor Fusion, Latency Optimization, Scalable System Design
Preferred skills
MS or PhD in ML/Robotics/CS, Publications at top-tier conferences (CVPR, ICCV, NeurIPS, etc.), Research experience
Technologies
PyTorch, JAX, Tensorflow, C++, Python
Responsibilities
Lead design of multi-sensor model architectures for scene understanding; Architect and develop foundational modeling libraries; Design and implement scalable core model components; Adapt SOTA ML technologies for strict compute budgets; Drive rapid prototyping with flexible pipelines.
Seniority
Staff, hands-on IC with strategic leadership