Machine Learning Engineer
Core
Architecting visual intelligence and computer vision pipelines to solve complex spatial and visual problems at scale.
Role type
Machine Learning Engineer (Computer Vision)
Builds
Production-ready computer vision pipelines and high-speed deep learning models for real-time detection and recognition.
Domain
Computer Vision / Spatial Intelligence
Deliverable
production ML models
Required skills
Python, OpenCV, PyTorch, TensorFlow, geometry, linear algebra, optimization
Preferred skills
SOTA architecture prototyping, robust and explainable AI, clean validation practices
Technologies
Python, OpenCV, PyTorch, TensorFlow
Responsibilities
Architect end-to-end computer vision pipelines from research to production, build high-speed deep learning models for real-time tasks, curate massive datasets to maximize model accuracy, prototype state-of-the-art architectures, integrate AI insights into core products
Seniority
Mid-level (2–5 years experience)
