remote
ML/AI Engineer - Vehicle Intelligence - 42dot
AI Engineer
Lead the development of next‑generation vehicle intelligence systems, applying advanced machine learning and computer vision techniques to create autonomous driving solutions on edge platforms.
About the role
Key Responsibilities
- Design, implement, and optimize machine learning models for perception, prediction, and planning in automotive environments.
- Develop end‑to‑end pipelines for data ingestion, annotation, training, and deployment on embedded hardware.
- Collaborate with software, hardware, and safety teams to integrate AI modules into vehicle control systems.
- Conduct rigorous testing, validation, and performance profiling to meet safety and latency requirements.
- Stay current with industry trends, research papers, and emerging AI frameworks to continuously improve solutions.
Requirements
- Strong experience in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Proven track record in computer vision and sensor fusion for autonomous driving.
- Knowledge of edge deployment, real‑time inference, and automotive safety standards.
- Excellent problem‑solving skills and ability to work in a fast‑paced, cross‑functional team.
Skills
pythonmachine learningcomputer visiondeep learningtensorflow