Lead Machine Learning Engineer - Medical Imaging

Holobeam Technologies Inc.; Bethpage (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

401K

Stock options

Job summary

Holobeam Technologies in Bethpage, Long Island, NY is seeking a Lead Machine Learning Engineer – Medical Imaging to guide a small ML research team, design experiments, and move promising work toward clinical and regulatory readiness.

You will stay hands‑on—coding, training, and evaluating 2D/3D medical imaging methods on datasets such as X-ray, CT, DICOM, and MRI—while mentoring engineers and shaping research direction. A PhD is desirable but depth matters more.

Qualifications

• 6+ years of applied ML/computer-vision experience.
• Advanced Python and PyTorch skills.
• Hands-on experience developing and training deep-learning models.
• Experience with medical imaging datasets (CT, X-ray, MRI, etc.).
• Experience leading or mentoring ML engineers/researchers.

Responsibilities

• Lead ML research and mentor a small team while remaining actively involved in coding, training, and experimentation.
• Develop and evaluate methods involving 2D/3D medical imaging, reconstruction, image analysis, and generative imaging.
• Work with medical imaging datasets including X-ray, CT, DICOM, annotations, masks, and volumetric data.
• Translate promising research papers into working implementations and controlled experiments.
• Design validation methods that distinguish clinically supported information from visually plausible model output.
• Address data quality, registration error, hallucination, domain shift, uncertainty, and other model failure modes.
• Build reproducible preprocessing, training, inference, and evaluation pipelines.
• Help move successful research toward production, clinical validation, and regulatory submission.

Skills

Applied ML/Computer Vision

Python

PyTorch

Deep learning

Medical imaging experience

Team leadership

Education

PhD or equivalent research experience

PhD in related field

Tools

CUDA

Multi-GPU training

Job description

Lead Machine Learning Engineer – Medical Imaging

Holobeam Technologies | Bethpage, Long Island, NY

Holobeam Technologies is developing advanced medical imaging technologies at the intersection of machine learning, computer vision, image processing, and 3D medical imaging.

We are looking for a Lead Machine Learning Engineer – Medical Imaging to lead a small ML research team developing novel imaging technologies.

This is a hands‑on technical leadership role. We need someone who can set research direction, design experiments, develop and train models, mentor engineers, investigate failures, and help move successful research toward clinical and regulatory‑ready products.

What You’ll Do

• Lead ML research and mentor a small team while remaining actively involved in coding, training, and experimentation.
• Develop and evaluate methods involving 2D/3D medical imaging, reconstruction, image analysis, and generative imaging.
• Work with medical imaging datasets including X‑ray, CT, DICOM, annotations, masks, and volumetric data.
• Translate promising research papers into working implementations and controlled experiments.
• Design validation methods that distinguish clinically supported information from visually plausible model output.
• Address data quality, registration error, hallucination, domain shift, uncertainty, and other model failure modes.
• Build reproducible preprocessing, training, inference, and evaluation pipelines.
• Help move successful research toward production, clinical validation, and regulatory submission.

What We’re Looking For

• 6+ years of applied ML/computer‑vision experience.
• Advanced Python and PyTorch skills.
• Strong hands‑on experience developing and training deep‑learning models.
• Experience with medical imaging or closely related scientific imaging.
• Experience with CT, X‑ray, CBCT, MRI, PET/SPECT, ultrasound, or other volumetric imaging.
• Strong understanding of 2D/3D computer vision, experimental design, dataset partitioning, validation, and error analysis.
• Experience leading or mentoring ML engineers/researchers.

Particularly Valuable

Experience with several of the following would be especially relevant:

• CT reconstruction or inverse problems
• Diffusion models and other generative AI
• Medical‑image registration
• CUDA/multi‑GPU training
• Published medical‑imaging research or patents
• Production medical software
• FDA 510(k), SaMD, design controls, IEC 62304, or medical‑device V&V

The Person We’re Looking For

We are not looking for a manager who has stopped being technical.

The right person should be equally comfortable saying:

“Here is the research direction our team should pursue.”

and:

“Here is why this model failed and the experiment we should run next.”

Medical imaging also requires more than producing visually impressive results. We want someone who thinks carefully about what information is actually supported by the input data, what is being inferred by the model, how uncertainty should be handled, and how anatomical and clinical fidelity can be validated.

A PhD in computer science, electrical engineering, biomedical engineering, medical physics, imaging science, applied mathematics, or a related field is highly desirable, but demonstrated research accomplishments and technical depth matter more than the credential itself.

Location: Bethpage, Long Island, New York

We offer competitive salaries commensurate with experience, plus extremely generous health care plan, as well as 401K and stock options.

Hybird partial onsite may be possible for exceptional candidates

Email: [e-mail] with any questions.