Senior Computer Vision/Machine Learning Engineer, Digital Twin Platform
Core
Design, train, and optimize deep learning models for object detection, tracking, and activity recognition in industrial environments to enable virtual testing and analytics for Woven City's digital twin platform.
Role type
Senior Computer Vision and Machine Learning Engineer (Industrial Digital Twin)
Builds
Real-time CV/ML inference pipelines and analytics systems for logistics, distribution, and factory operations within the Woven City digital twin.
Domain
Industrial automation, logistics, and digital twin technology.
Deliverable
production ML models
Required skills
Deep learning model design and optimization, multi-object tracking, dataset strategy and annotation, technical leadership, classical computer vision geometry, PyTorch or TensorFlow, scalable perception pipelines, end-to-end production delivery
Preferred skills
Human pose estimation, edge inference optimization, 3D sensing modalities, space utilization analysis, Vision-Language Models, cloud platforms for ML workloads
Technologies
PyTorch, TensorFlow, TensorRT, ONNX, AWS, GCP
Responsibilities
Design and optimize deep learning models for object detection and activity recognition; Build and maintain real-time CV/ML inference pipelines; Lead dataset strategy and model evaluation; Define technical roadmap and architecture for CV/ML systems; Establish engineering best practices and mentor engineers
Seniority
Senior, hands-on IC with technical leadership
