Junior Machine Learning Engineer – Medical Imaging

Holobeam Technologies; Bethpage (NY); Hybrid; USD 85,000 - 120,000; Full time

Benefits offered by this job

Equity stock options

401K

Bonuses

Full benefits including health care

Job summary

Holobeam Technologies is seeking a Junior Machine Learning Engineer–Medical Imaging to join our team in Bethpage, NY. You will work at the intersection of medical imaging, computer vision, and data quality to build robust ML pipelines.

You'll review imaging studies, validate metadata, and train/benchmark segmentation models, with hybrid or remote work options for exceptional candidates. This role offers growth across the ML lifecycle.

Qualifications

• Strong Python skills and hands-on experience with PyTorch.
• Experience training and evaluating computer vision or segmentation models.
• Practical experience with medical imaging data.
• Working knowledge of DICOM.
• Understanding of model evaluation, experimental design, dataset partitioning, and error analysis.
• Familiarity with imaging anatomy sufficient to recognize technically inadequate studies or anatomically implausible outputs without performing diagnostic interpretation.
• Strong analytical skills, attention to detail, and technical communication.

Responsibilities

• Review and validate medical imaging studies, DICOM metadata, annotations, segmentation masks, and model-generated outputs.
• Develop reproducible quality-control and data-validation workflows.
• Train, benchmark, and evaluate computer vision and segmentation models.
• Identify data, preprocessing, annotation, and model-output issues.
• Perform error analysis and root-cause analysis of model and data failures.
• Prepare validated datasets and outputs for downstream ML development.
• Document methods, experiments, decisions, and results.
• Work with technical and clinical stakeholders and elevate cases requiring additional review.

Skills

Python

PyTorch

Computer Vision

Segmentation Models

DICOM

Data Quality

Analytical Skills

Technical Communication

Job description

Junior Machine Learning Engineer – Medical Imaging

About Holobeam

Holobeam Technologies is a cutting-edge medical technology company developing advanced medical imaging technologies designed to improve clinical care and help save lives.

We are looking for a Junior Machine Learning Engineer – Medical Imaging to join our team and work at the intersection of medical imaging, computer vision, machine learning, and data quality.

What You’ll Do

• Review and validate medical imaging studies, DICOM metadata, annotations, segmentation masks, and model-generated outputs.
• Develop reproducible quality-control and data-validation workflows.
• Train, benchmark, and evaluate computer vision and segmentation models.
• Identify data, preprocessing, annotation, and model-output issues.
• Perform error analysis and root-cause analysis of model and data failures.
• Prepare validated datasets and outputs for downstream ML development.
• Document methods, experiments, decisions, and results.
• Work with technical and clinical stakeholders and elevate cases requiring additional review.

What We’re Looking For

• Strong Python skills and hands-on experience with PyTorch.
• Experience training and evaluating computer vision or segmentation models.
• Practical experience with medical imaging data.
• Working knowledge of DICOM.
• Understanding of model evaluation, experimental design, dataset partitioning, and error analysis.
• Familiarity with imaging anatomy sufficient to recognize technically inadequate studies or anatomically implausible outputs without performing diagnostic interpretation.
• Strong analytical skills, attention to detail, and technical communication.

Experience with X-ray, CT, medical-image segmentation, annotation workflows, or medical-imaging data pipelines is a plus.

Why Holobeam

You’ll work on challenging technology with meaningful healthcare applications while gaining hands‑on experience across the machine learning lifecycle. As Holobeam grows, strong performers will have the opportunity to take on increasing technical ownership and responsibility.

Location

Preferred Beth Page New York / Hybrid or remote is possible for exceptional candidates, with daily / periodic in-person collaboration based on team and project needs.

• Competitive salary, equity stock options, 401K, bonuses, full benefits including an excellent health care plan.
• Long Island, NY (ranked the safest county in the U.S.)
• High autonomy, rapid iteration, and real technical influence

If you are excited about applying machine learning and computer vision to medical imaging and want to work on technology with the potential to improve and save lives, we would like to hear from you.

Holobeam Technologies is an equal opportunity employer.