Co-Op Computer Vision - Deep Learning (Fall 2023)

• End-to-end pipeline for annotation, training and deployment of machine learning algorithms
• Coordinate with other engineers and technical experts in developing machine learning algorithms from collected data
• Ability to apply deep learning with segmentation tasks
• Research machine learning and deep learning algorithms and methods for improvement
• Familiarity in domain adaptation / model interpretability is a plus
• Propose novel approaches for unsolved research problems in autonomy
• Services and dashboards for training progress and validation metrics
• Experience using AWS for training

• 0-2 years of Machine Learning/Vision Algorithms/Deep Learning experience
• Experience in the following areas:
• Previous software development experience
• PhD Candidates with research experience in the Autonomous field
• Candidate must be a full-time student currently pursuing a graduate degree in Computer Engineering, Computer Science, or related field

• Object-oriented design
• Python
• Rapid development and prototyping in Python
• AWS
• ROS
• Computer vision and machine learning
• GPU compute
• Creating clean C++ code
• Image processing

• Familiarity with at least one of the following, or similar platforms:

• TensorFlow, Pytorch

Hiring for Fall Co-Op:

• August 2023 to December 2023, with potential to extend longer based on performance.
• Location(s): Austin, Texas; Blacksburg, Virginia; Remote; Hybrid
• The visible pay rate is for a master's student.
• If available, late summer 2023 start date.