--- title: 'Senior AI Scientist at Hyperfine' canonical: 'https://feeny.ai/job/senior-ai-scientist-hyperfine-palo-alto-q3mmrt91gfr9' type: 'job' last_seen: '2026-09-11' --- # Senior AI Scientist at Hyperfine - **Company:** Hyperfine - **Location:** Palo Alto, CA - **Work type:** hybrid - **Posted:** 2026-08-05 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/hyperfine53/jobs/6135538004 ## Job description ## 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](https://hyperfine.io/) ## About The Role Job Title: Senior AI Scientist Location: Palo Alto, CA (Hybrid, 3 days/week) 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 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 - Available nights, 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. 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. ## About Hyperfine ## Company Overview - **One-liner**: Hyperfine is a health technology company that developed the Swoop® system, the first FDA-cleared portable, ultra-low-field magnetic resonance brain imaging system designed for use at the point of care. - **Entity Type**: Public (NASDAQ: HYPR) - **Headquarters**: Guilford, Connecticut, United States - **Founded**: 2014 - **Founders**: Jonathan Rothberg, PhD ## Core Business - **Primary industry**: Medical equipment manufacturing / health technology (portable MRI) - **Target customers**: B2B – hospitals, neurology practices, pediatric units, ICUs, emergency departments, and other healthcare facilities - **Mission statement**: “To revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging.” ## Products & Services - **Swoop® Portable MR Imaging® System**: An ultra-low-field (0.064T) portable MRI scanner that plugs into a standard outlet and can be operated by any trained healthcare professional. It provides diagnostic-quality brain imaging (T1, T2, FLAIR, DWI sequences) in multiple planes, with an open, quiet design that reduces patient anxiety and allows family to stay beside the patient. - **Optive AI™ Software**: An AI-driven image reconstruction platform that uses deep learning to reduce noise and blur, delivering sharper anatomical detail at lower field strengths to support confident diagnosis at the point of care. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed - **Key Metric**: Annual Revenue: USD $13.6 million (LinkedIn estimate for most recent fiscal year) - **Total Funding**: USD $454.8 million raised across 10 rounds, including a $207M corporate round (2021), Series D ($90M, 2021), and a $6M post-IPO equity round (2025) - **Notable Investors / Partners**: HealthCor Catalio Acquisition Corp. (parent company); other investors from Series C, D, and seed rounds (names not fully detailed in available sources) - **Growth Signals**: Revenue generation at $13.6M; 99 employees with a -10.3% YoY headcount decline; active presence in the US, UK, Italy, and Germany; 9 open job postings as of mid-2026; continued R&D investment in AI and sequence development ## Competitive Advantages - **Portable & point-of-care**: The only FDA-cleared portable MRI that can be brought to the patient’s bedside without requiring dedicated infrastructure or shielding. - **AI-powered image quality**: Optive AI software enables clear diagnostic images at 0.064T, a field strength far lower than conventional MRI. - **Patient-friendly**: Open design, quiet operation, no ionizing radiation, and allows family/caregivers to remain present during scans. - **Ease of use**: Simple plug-and-play setup; any trained healthcare professional can operate the system. ## Strategic Focus - **Expand global access**: Address the 80% of the world’s population that lacks MRI access by making imaging affordable and deployable in any care setting. - **Deepen clinical adoption**: Grow adoption in neurology, pediatrics, ICU, and emergency departments through evidence generation and reimbursement support. - **Advance AI capabilities**: Continue improving image reconstruction and adding new sequences to enhance diagnostic confidence. ## Why Work Here - **Mission-driven culture**: Employees are motivated by the goal of democratizing MRI and saving lives through accessible imaging. - **Cutting-edge technology**: Work at the intersection of MRI physics, deep learning, electrical engineering, and cloud software. - **Small, impactful team**: With ~99 employees, individuals can have outsized influence on product development and company direction. - **Open roles**: Active hiring for Senior AI Scientist, Senior Software Engineer (Cloud), Staff Product Manager, Regulatory Affairs, Sales, and more (see careers page). - **Location & flexibility**: Headquarters in Guilford, CT; presence in the UK, Italy, and Germany; likely hybrid/office model typical of medtech companies. - **Leadership**: Led by CEO Maria Sainz and a management team with deep medtech and MRI experience; founder Jonathan Rothberg is a serial entrepreneur (also founded Butterfly Network, Quantum-Si). ## Sources 1. [hyperfinemri.com – About Hyperfine](https://www.hyperfinemri.com/about/about-hyperfine) 2. [hyperfinemri.com – Swoop System Overview](https://www.hyperfinemri.com/) 3. [hyperfinemri.com – Careers](https://www.hyperfinemri.com/about/careers) 4. [linkedin.com – Hyperfine Company Page](https://www.linkedin.com/company/hyperfine-inc) 5. [hyperfinemri.com – Management Team](https://www.hyperfinemri.com/about/management-team) ## Other roles at Hyperfine - [Director, People](https://feeny.ai/job/director-people-hyperfine-guilford-4wb1zszgs9em) — Guilford, CT - [Director, People](https://feeny.ai/job/director-people-hyperfine-palo-alto-zjsdjzkak00w) — Palo Alto, CA - [Regional Sales Director - New York City (NYC-Based)](https://feeny.ai/job/regional-sales-director-new-york-city-nyc-based-hyperfine-new-york-city-36v11n6s4zc7) — New York City, NY - [Supplier Quality Engineer](https://feeny.ai/job/supplier-quality-engineer-hyperfine-guilford-q1jn5w3zzen8) — Guilford, CT - [Clinical Scientist](https://feeny.ai/job/clinical-scientist-hyperfine-palo-alto-skxmvc3rg40e) — Palo Alto, CA - [Clinical Scientist](https://feeny.ai/job/clinical-scientist-hyperfine-guilford-zx2cmzgqdw51) — Guilford, CT - [Software Engineer, Cloud](https://feeny.ai/job/software-engineer-cloud-hyperfine-palo-alto-rawh83n14gbw) — Palo Alto, CA - [Test Automation Engineer](https://feeny.ai/job/test-automation-engineer-hyperfine-palo-alto-d9qxqhs6kvhs) — Palo Alto, CA - [Staff Product Manager](https://feeny.ai/job/staff-product-manager-hyperfine-palo-alto-8n104a1v0bec) — Palo Alto, CA - [Senior Regulatory Affairs Specialist](https://feeny.ai/job/senior-regulatory-affairs-specialist-hyperfine-palo-alto-xjj9dkat2v8f) — Palo Alto, CA