Co-op Robot Perception

Skills

About the Role

You will research traditional computer vision and deep learning methods for image and video analysis. You will benchmark methods using production data, design data-processing workflows, deploy software to robot hardware, validate multi-robot algorithms through simulations and experiments, and document and present results.

Requirements

• Pursue a Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field
• Demonstrate proficiency in Python or C++ and experience with Jupyter notebooks
• Use machine learning frameworks such as PyTorch or TensorFlow
• Understand computer vision and perception tools such as OpenCV
• Understand robotics perception concepts including sensor fusion, SLAM, pose representations, coordinate transforms, probabilistic graphical models, and Bayesian inference
• Understand RGB cameras, 3D sensors, and point-cloud processing tools such as PCL
• Work in Linux environments and use command-line tools
• Be familiar with AWS or Azure, REST APIs, or SQL-based data tools such as Snowflake

Responsibilities

• Research computer vision and deep learning methods for object detection, classification, segmentation, pose estimation, and anomaly detection
• Evaluate and benchmark computer vision methods using production data
• Deploy software to production robot hardware
• Design data pre-processing and post-processing methods
• Document designs, code, experiments, and evaluations
• Identify high-impact applications of AI planning and machine learning in robotics software
• Develop or adapt algorithms for multi-robot problems
• Conduct simulations and experiments to validate multi-robot algorithms
• Present results verbally and in writing

Benefits

• Transportation benefits for students who meet relocation requirements
• Housing benefits for students who meet relocation requirements
• Medical insurance
• Dental insurance
• Vision insurance
• Disability insurance
• 401K
• PTO