Note: The job is a remote job and is open to candidates in USA. Holobeam Technologies is a medical technology company developing advanced medical imaging technologies to improve clinical care and help save lives. The Junior Machine Learning Engineer will review and validate medical imaging data, train and evaluate computer vision and segmentation models, investigate data and model issues, and collaborate with technical and clinical stakeholders.
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 escalate cases requiring additional review
Skills
- 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
- 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
Benefits
- Equity stock options
- 401K
- Bonuses
- Full benefits including an excellent health care plan
- Hybrid or remote work is possible for exceptional candidates, with daily / periodic in-person collaboration based on team and project needs
- High autonomy, rapid iteration, and real technical influence
Company Overview