Machine Learning Applied Scientist (Co-op)
Core
Apply machine learning and computer vision techniques to develop 4D Vision technology for industrial robots performing tasks like bin picking, sorting, and assembly in manufacturing environments.
Role type
Applied Scientist (Co-op)
Builds
4D Vision software (Vue), simulation studio (Forge), and turnkey bin-picking cells (VuePod) for automotive OEMs and Tier 1 suppliers.
Domain
Industrial automation, robotics, computer vision
Deliverable
production ML models
Required skills
Python, PyTorch, object detection, depth estimation, 6-DoF pose estimation, model training and evaluation, synthetic data generation
Preferred skills
Blender, point cloud processing, depth sensing, AWS (S3, EC2, SageMaker), Linux, Docker
Responsibilities
Prototype and evaluate vision models for object detection and pose estimation; adapt research methods to production baselines; enhance synthetic data generation pipelines; debug model issues during robotic testing; lead a scoped ML project; support research on strategic vision problems like part occlusion.
Seniority
Co-op (Undergraduate)
