Senior AI Scientist

About the role

The Senior AI Scientist is responsible for innovating and expanding product capabilities through the development of new machine learning algorithms and models. This role involves coordinating tasks with other scientists, software engineers, and a clinical team to develop new intelligent medical products. Responsibilities include rapidly prototyping deep learning models, designing and developing new machine learning algorithms, supporting software releases, and maintaining and improving existing DL models.

Responsibilities

• Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products.
• Rapidly prototype deep learning models including, but not limited to, classification, detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time.
• Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences.
• Maintain and continuously improve our existing DL models, with new training data and modeling techniques.
• Support software releases, and regulatory documentation.

Requirements

• PhD in a relevant field, or MS (or equivalent) with 2+ years of applied experience.
• Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.
• Experience working with Medical Images and Magnetic Resonance Images.
• Software engineering experience in developing and maintaining systems using Python.
• Programming experience in PyTorch and/or TensorFlow.

Qualifications

Ability to design new algorithms for practical problems on real-world datasets. Ability to quickly learn new concepts and apply to research and development process in an iterative and incremental fashion. Ability to work efficiently and clear roadblocks in timely manner. Adaptability to fast-changing work environment. Strong communication skills and proactiveness for working in a cross-functional collaborative environment.

Skills

• Ability to design new algorithms for practical problems on real-world datasets.
• Ability to quickly learn new concepts and apply to research and development process in an iterative and incremental fashion.
• Ability to work efficiently and clear roadblocks in timely manner.
• Adaptability to fast-changing work environment.
• Strong communication skills and proactiveness for working in a cross-functional collaborative environment.

Pay

The annual base salary for this position is between $156,000 - $179,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.

Schedule

This is a full-time, on-site role based out of Hyperfine’s office in Guilford, CT. Available nights, weekends, and holidays as business needs require.