Senior AI Scientist

Hyperfine; Palo Alto (CA); Hybrid; USD 190,000 - 215,000; Full time

Job summary

Hyperfine, Inc. is hiring a Senior AI Scientist in Palo Alto, CA, to innovate ML-based imaging solutions for MRI, with a focus on patient outcomes. You will develop new algorithms, improve models, and collaborate with clinical teams.

The role emphasizes rapid prototyping of deep learning models, cross-functional collaboration, and contribution to regulatory documentation. Hybrid work requires in-office presence at least 3 days per week and occasional travel.

Qualifications

• PhD or MS with relevant machine learning and imaging experience.
• Experience with Computer Vision and Medical Image Analysis.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow).

Responsibilities

• Coordinate tasks with scientists, software engineers, and a clinical team to develop intelligent medical products.
• Prototype deep learning models including classification, detection, segmentation, and denoising; iterate on training with speed.
• Design and develop algorithms; stay updated with advances across labs and conferences.
• Maintain and improve existing DL models with new data and techniques.
• Support software releases and regulatory documentation.

Skills

Machine Learning

Computer Vision

Medical Image Analysis

Deep Learning

Python

Education

PhD in a relevant field

MS (or equivalent) with 2+ years applied experience

Tools

PyTorch

TensorFlow

Python

Job description

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

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.
• Rapidlyprototypedeeplearning 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 newtraining data and modeling techniques.
• Supportsoftwarereleases, and regulatory documentation.

Knowledge, Skill & Abilities:

• Ability to design new algorithms for practical problems on real-world datasets.
• Ability toquicklylearn new conceptsandapplytoresearch and developmentprocessin 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 andmaintainingsystems using Python.
• Programming experience inPyTorchand/or TensorFlow.

Physical Demands:

• This is a hybrid role based out of Hyperfine's office in Palo Alto, CA (minimum 3 days per week)
• Occasional travel up to 10% of the time for conferences and/or team meetings in Hyperfine's office in Guilford, CT
• Availablenights, weekends, and holidays as business needs require.

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

Compensation: The annual base salary for this position based out of Hyperfine's office in Palo Alto, CA is between $190,000 - $215,000. 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.