Deep Learning Engineer
Core
Building and deploying state-of-the-art machine learning models for computer vision perception tasks (3D vision, video behavior, vision language models) to empower transit systems and government agencies.
Role type
Deep Learning Engineer (Computer Vision/Perception)
Builds
Production ML models for edge devices and cloud environments
Domain
Computer Vision, Autonomous Systems, Transportation Technology
Deliverable
production ML models
Required skills
Deep learning model design and training, PyTorch, Python, MLOps practices, cloud deployment (AWS/GCP/Azure), 3D vision modeling, video/temporal behavior modeling, vision language model fine-tuning, Nvidia edge device stack optimization, CUDA
Preferred skills
Experience in self-driving car perception problems
Technologies
PyTorch, Python, AWS, GCP, Azure, Nvidia edge stack, CUDA
Responsibilities
Design and deploy deep learning solutions for complex perception problems, create design and project plan documentation, contribute to team roadmap and planning, collaborate with cross-functional teams to deliver end-to-end customer solutions
Seniority
Mid-level, hands-on IC