ML Research Engineer / Scientist
New
J
JobgetherMedical AI
Fully remote position open to candidates worldwide.Full-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- Data AnalysisMachine LearningPyTorchDeep LearningComputer Vision
Requirements
- Strong practical experience with modern machine learning and deep learning, particularly using PyTorch for custom architectures, training loops, and experimentation.
- Deep understanding of why machine learning architectures, objectives, optimization strategies, and training approaches work.
- Demonstrated ability to independently formulate hypotheses, design experiments, interpret results, and iterate toward better models.
- Strong understanding of rigorous experimentation, evaluation, reproducibility, and model validation.
- Experience working with large-scale datasets and distributed training environments.
- Strong interest in solving technically challenging problems with real-world consequences.
- Ability to work effectively with researchers, engineers, and clinical experts in a collaborative environment.
- Strong written and verbal communication skills and the ability to work independently in a fully remote environment.
Responsibilities
- Design, develop, train, and evaluate machine learning models capable of interpreting complete CT studies at the study level.
- Research foundation-model approaches for medical imaging, including 3D and volumetric learning at large scale.
- Develop and investigate vision-language models that connect medical images with the terminology and reporting patterns used by radiologists.
- Build models capable of identifying and prioritizing multiple urgent clinical findings simultaneously while maintaining safe and clinically appropriate operating points.
- Design and execute independent experiments, from hypothesis formation and architecture selection through training, evaluation, and analysis.
- Develop custom architectures, training pipelines, loss functions, and distributed training approaches using modern deep learning frameworks.
- Analyze model performance rigorously and establish reproducible evaluation methodologies suitable for clinically consequential AI systems.
- Work closely with fellowship-trained radiologists to understand clinical requirements, interpret results, and translate research findings into practical model improvements.
- Contribute to models and research that progress toward regulatory submissions, clinical deployment, and real-world patient use.
- Take ownership of research projects end to end and make informed decisions about which experiments and approaches are most likely to deliver meaningful improvements.
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