Senior AI Engineer
Core
Design and implement complex computer vision systems to understand driving behavior, identify risk factors, and suggest coachable events for fleet safety on trucks.
Role type
Senior IC machine-learning engineer (computer vision, perception)
Builds
Next-gen AI dashcam features, edge processing algorithms, and cloud services for fleet safety
Domain
Transportation and logistics / Computer Vision / Embedded AI
Deliverable
production ML models | product features
Required skills
Computer Vision, Deep Learning, Machine Learning, Python, C++, Embedded systems programming, Model optimization, Object detection, Image segmentation
Preferred skills
AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, Kubernetes, Model compression, Active learning pipelines
Technologies
PyTorch, TensorFlow, Python, C++, AWS, Docker, Kubernetes, Terraform
Responsibilities
Evaluate and improve performance of existing production models and algorithms; Conduct research and execute experiments to build new AI models; Build and optimize CV/ML algorithms for real-time performance on embedded platforms; Write proficient Python and C++ code for CV algorithms, ML services, training, and porting pipelines; Convert state-of-the-art research prototypes into reliably working product features; Build automated deployment, validation, and active learning pipelines; Mentor junior engineers and provide technical leadership on complex projects
Seniority
Senior, hands-on IC
