Senior Machine Learning Engineer II
Core
Research, design, develop, and test robotic and machine learning applications for autonomous vehicle perception and operations.
Role type
Senior Machine Learning Engineer (Autonomous Vehicles)
Builds
Perception systems for autonomous vehicles integrating multi-sensor data (Camera, RADAR, LiDAR) and HD maps.
Domain
Autonomous Vehicles / Robotics / Computer Vision
Deliverable
production ML models
Required skills
Radar Perception using AI, Monocular 3D object detection, Autonomous Vehicle Sensor Fusion, Data Structures, Python, C++, ROS programming, Machine Learning Model Optimization, Auto-Labeling Techniques, Large-Scale Data Generation and Analytics, Advanced Mathematical Concepts for ML
Preferred skills
Deep learning architecture design, Generative AI for object detection, Kinematics and intent prediction, Short-term trajectory prediction
Technologies
Python, C++, ROS, Camera, RADAR, LiDAR, HD Maps, Convolutional Neural Networks
Responsibilities
Contribute to the complete machine learning cycle including data collection, labeling, processing, algorithm design, model training, and evaluation; Design novel machine learning models and algorithms including new deep learning architectures and training protocols; Develop and implement solutions to integrate multiple sensors and contextual information; Provide support on debugging real-time perception issues on the ride-hail fleet.
Seniority
Senior, hands-on IC