Job Application for Senior AI Scientist at Hyperfine

About Us

Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop^_® system—the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging. Learn More

About The Role

Job Title: Senior AI Scientist

Location: Guilford, Connecticut

The Senior AI Scientist is a talented and experienced Scientist with applied experience in Machine Learning who will innovate and expand our product capabilities. The goal of this role is to develop techniques that solve a wide range of challenging scientific and clinical problems in MRI aimed at improving patient outcomes. You will introduce new algorithms and machine learning models that solve difficult imaging tasks, make our models more accurate and robust, and introduce entirely new approaches.

Key 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.

Knowledge, Skill & Abilities:

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.

Required Education & Experience:

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.

Physical Demands:

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.

Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.

Compensation: The annual base salary for this position is between $160,000 - $185,000. 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.

Agency Resumes: We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired.

Create a Job Alert

Interested in building your career at Hyperfine? Get future opportunities sent straight to your email.

First Name

Last Name

Preferred First Name

Country

Phone

Location (City)

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Do you have professional or academic experience working with MRI (Magnetic Resonance Imaging) technology or data?

Select...

Please briefly describe your experience working with MRI data, including any experience developing or applying AI/machine learning methods to MRI image acquisition, reconstruction, processing, analysis, or related applications.

Are you legally authorized to work in the United States for any employer?

Select...

Will you now or at any time in the future require employer sponsorship to obtain or maintain authorization to work in the United States (for example, H-1B, TN, O-1, E-3, or another employment-based work visa)?

Select...

Hyperfine does not sponsor new employment-based work visas or assume sponsorship of existing employment-based work visas.

Please answer "Yes" if you know or reasonably expect that Hyperfine would need to sponsor or assume sponsorship of your employment-based work authorization at any point during your employment.

This position is a full-time, on-site role based in Hyperfine's Guilford CT office. Are you able to work on-site in our Guilford office on a full-time basis, or relocate prior to your anticipated start date to meet this requirement?

Select...

How did you hear about this job? If referred by a Hyperfine employee, please list their name.

LinkedIn Profile

Website

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Hyperfine’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Gender

Select...

Are you Hispanic/Latino?

Select...

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Veteran Status

Select...

Senior AI Scientist

Apply for this job

Voluntary Self-Identification