Junior ML Engineer – Medical Imaging (Hands-on R&D)

Holobeam Technologies Inc.; Bethpage (NY); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Health insurance

401K and stock options

Job summary

Holobeam Technologies is seeking a Junior Machine Learning Engineer focused on medical imaging. You will work hands-on with medical datasets, build and test new ML approaches, and contribute to reproducible imaging pipelines.

You’ll train, evaluate, and iterate on CV models using Python and PyTorch, handling X-ray/CT/MRI data, DICOM studies, and related annotations. Expect growth into owning a research direction.

Qualifications

• Hands-on experience with PyTorch and Python in ML projects.
• Experience training and evaluating computer vision or deep-learning models.
• Understanding architectures for classification, detection, or image analysis.

Responsibilities

• Review and validate medical imaging datasets, annotations, and outputs.
• Develop, train, benchmark, and evaluate CV models using PyTorch.
• Build reproducible preprocessing, training, inference, and evaluation pipelines.

Skills

PyTorch

Computer vision

Python

Medical imaging

Experiment design

Data analysis

Debugging

Documentation

Education

Bachelor's degree in Computer Science, Electrical Engineering, or related

Master’s degree preferred or PhD candidate

Tools

PyTorch

Python

Job description

Holobeam Technologies is seeking a Junior Machine Learning Engineer focused on medical imaging. You will work hands-on with medical datasets, build and test new ML approaches, and contribute to reproducible imaging pipelines.

You’ll train, evaluate, and iterate on CV models using Python and PyTorch, handling X-ray/CT/MRI data, DICOM studies, and related annotations. Expect growth into owning a research direction.