We are seeking a highly motivated and experienced Machine Learning Engineer to develop advanced machine learning (ML), deep learning (DL), and foundational AI models for medical imaging. This role focuses on building robust algorithms for segmentation, quantification, and detection across CT, MRI, and X-ray.
This position sits at the center of a well-resourced, data-rich research environment with established infrastructure for multi-institutional data aggregation, curation, and large-scale annotation. St. Jude Children’s Hospital has incredible high-performance computing resources. The lab leverages curated datasets from diverse sources, dedicated annotation teams, and external engineering support, enabling this role to focus on high-impact model development, validation, and clinical translation.
Many projects are designed with a path toward regulatory clearance via FDA’s 510(k) or De Novo pathways, and the successful candidate will work closely with regulatory and quality experts to support reproducible, well-documented, and clinically deployable AI solutions. This role offers a unique combination of academic productivity (authorship opportunities) and real-world impact through translation into clinical practice.
Machine Learning Engineer
Develop, train, and validate state-of-the-art ML/DL models for segmentation, quantification, and detection across CT, MRI, and X-ray
Develop quantitative imaging methods (e.g., volumetrics, density measurements, biomarker extraction)
Minimum Education and/or Training:
Bachelor's degree in computer science, data science, information science, business, or related field.
Master's degree preferred.
Minimum Experience:
Minimum Requirement: Bachelor's degree with 5+ years of experience required.
Experience Exception: Master's degree with 3+ years of experience.
Experience with programming languages, databases, and software development lifecycle
Experience with the position-specific technical stack preferred
Experience with the position-specific scientific domain preferred
Proven performance in earlier role/comparable role
Experience with modern architectures (U-Net variants, detection frameworks, transformers, or foundational models)
Experience using modern LLM-based coding assistants (e.g., Claude, Codex, or similar) to enhance development workflows
Exposure to software security principles (e.g., secure coding, vulnerability assessment, penetration testing concepts)
Academic and Career Development Opportunities
Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Staff Software Engineer / Machine Learning Engineer - Radiology.
Explore our exceptional benefits!
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.
