Expert Machine Learning Engineer
Core
Design, train, evaluate, and optimize state-of-the-art machine learning models for camera-based perception in vehicles, focusing on features like vehicle and pedestrian detection, lane detection, and traffic sign/light recognition.
Role type
Senior IC machine learning engineer (computer vision)
Builds
Production ML models for exterior camera perception systems
Domain
Automotive / Autonomous Driving / Computer Vision
Deliverable
production ML models
Required skills
Transformers and vision transformers, Convolutional neural networks, Representation learning, Self-supervised or semi-supervised learning, Classical computer vision, Large-scale model training, Python programming, Linear algebra, Probability, Optimization
Preferred skills
Rust development, Production-grade AI solutions, Git/CI/CD/Agile, ADAS/autonomous driving datasets, Camera calibration, Large-scale training infrastructure, Embedded/resource-constrained AI deployment
Responsibilities
Design, train, evaluate, and optimize ML models for camera-based perception; Apply modern approaches like transformers and self-supervised learning; Improve model performance, robustness, generalization, and inference latency; Collaborate with software and system engineers across an international organization
Seniority
Senior, hands-on IC
