Senior, Machine Learning Engineer
Core
Design, develop, and deploy deep learning models for camera-based autonomous-vehicle perception.
Role type
Senior IC machine-learning engineer (autonomous driving perception)
Builds
Production-quality ML code and scalable training, evaluation, and inference pipelines for the autonomy stack
Domain
Autonomous driving, computer vision, robotics
Deliverable
production ML models
Required skills
Deep learning model development, Python, PyTorch, distributed training, CNNs, transformers, multi-task models, model debugging, performance analysis, dataset curation, labeling strategies, experiment tracking, system integration
Preferred skills
Autonomous driving, simulation-based ML, multi-task/unified perception architectures, large-scale data pipelines, Ray, experiment management frameworks, camera calibration, geometric reasoning, BEV, monocular depth, structure-from-motion, real-world robotics deployment
Responsibilities
Design and deploy deep learning models for perception; own model development lifecycle from data curation to deployment; build scalable ML pipelines; analyze model performance and failure modes; improve dataset quality and workflows; collaborate with perception, simulation, data, infrastructure, and validation teams; contribute to model architecture decisions; mentor junior engineers
