Senior AI/ML Engineer - Future Sensing, Embodied AI
Core
Developing and deploying machine learning solutions for future sensing architecture and autonomous driving performance, specifically focusing on perception models and sensor fusion.
Role type
Senior IC machine-learning engineer (autonomous driving perception)
Builds
Perception models and components for object detection, tracking, classification, and safe AI using cameras, lidar, radar, and multi-modal sensor fusion.
Domain
Automotive / Autonomous Driving / Computer Vision
Deliverable
production ML models
Required skills
PyTorch, Python, NumPy, Pandas, Apache Spark, unsupervised pre-training, imitation learning, reinforcement learning, model scaling, object detection, tracking, classification, sensor fusion, model validation, debugging, failure analysis
Preferred skills
perception sensors (cameras, radar, lidar), multi-modal sensor fusion, production ML pipelines, model optimization, simulation, synthetic data, scenario-based evaluation, sensor placement studies, safety-critical ML applications
Technologies
PyTorch, Python, NumPy, Pandas, Apache Spark
Responsibilities
Develop and improve AI/ML solutions for autonomous driving; Apply techniques like imitation learning and foundation modeling for perception; Develop and evaluate perception models for multi-modal sensor fusion; Implement and evaluate models incorporating research advancements; Contribute to model training, fine-tuning, validation, and performance optimization; Define metrics for detection, reconstruction, and model robustness; Work with real and synthetic data to evaluate sensing tradeoffs; Contribute to production pipelines and technical workflows; Collaborate to integrate models into onboard driving systems; Participate in code reviews and documentation.
Seniority
Senior, hands-on IC
