Faction imaging is developing the next generation of a widely used medical imaging modality.

This role is for a consultant with extensive experience in reinforcement learning and the application of machine learning to image processing. It will involve conducting research, ideation and prototype development.

Applicants must demonstrate extensive technical expertise, drive and the ability to solve unstructured problems creatively within a multi-disciplinary team.

This is an opportunity to apply machine learning techniques to advance a critical medical imaging procedure performed millions of times per year in the United States alone.

Qualifications:

• BSc in computer science or a related field required
• PhD or MSc in Machine Learning, Artificial Intelligence, Computer Science, Mathematics or a related technical field is preferred
• Experience developing reinforcement learning algorithms
• Experience developing image segmentation and classification algorithms
• Experience with Python, C , Java or other related language
• Familiarity with machine learning tools such as PyTorch and Tensorflow

Responsibilities:

Phase 1: Research and Ideation

• Definition of image optimization and image processing algorithm specifications
• Investigation of known approaches to analogous problems
• Creation of a software development roadmap, including strategies for model training

Phase 2: Prototype Model Development and Performance Evaluation

Time Commitment: Part time

Location: Hybrid in-person (New York, NY) and remote

Compensation: Competitive