AI/ML Engineer Precision Oncology

Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer.

As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Join a dedicated team of nearly 11,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work For in the Nation and is continually named one of the Tampa Bay Times’ Top Workplaces.

Summary

The AI/ML Engineer - Precision Oncology develops, deploys, and scales advanced artificial intelligence technologies for precision oncology. This role builds and manages the software platforms, data pipelines, computational infrastructure, and machine learning systems required to support AI-enabled cancer research and clinical outcome optimization initiatives.The AI/ML Engineer works at the intersection of machine learning engineering, multimodal data integration, foundation models, generative AI, biomedical data science, and cancer research. This position collaborates closely with AI Data Scientists, clinicians, and informaticians to translate innovative AI methodologies into robust, reproducible, and institutionally scalable solutions for oncology applications.Other related duties as assigned by appropriate Leadership.

Job Title: AI/ML Engineer Precision Oncology
Minimum Education Level: Master's Degree
Minimum Field of Study: Computer Science, Computer Engineering, Electrical Engineering, Data Science, Artificial Intelligence, Biomedical Engineering, Informatics, or a related quantitative discipline
Minimum Education Notes: Bachelor's degree may be considered with __ additional years of experience
Preferred Education Level:
Preferred Field of Study:
Preferred Education Notes:
Licensure Certification Needed: No
Minimum Licensure:
Minimum Licensure (Other):
Training Required: Strong software engineering and programming skills in Python.Experience developing, deploying, and maintaining machine learning and deep learning applications using PyTorch, Hugging Face, or similar AI/ML frameworks.Experience building scalable data processing pipelines and workflows for large-scale structured and unstructured datasets.Experience developing APIs, software services, and reusable components that support AI applications and data-intensive workloads.Experience with machine learning operations (MLOps), including model training, evaluation, deployment, monitoring, experiment tracking, and version control.Experience working with Linux-based development environments.Experience using Git, collaborative software development practices, and modern AI-assisted coding tools.Experience developing and supporting AI/ML systems in HPC, cloud, GPU, or distributed computing environments.Experience with containerization and deployment technologies such as Docker or similar platforms.Experience developing, deploying, and supporting production-quality AI systems and software infrastructure.

Salary Range

$131,892.80 - $201,052.80

Salary ranges posted for this position represent the expected base pay range for the role. Actual compensation may vary based on location and a variety of job-related factors, including experience, skills, education, and internal equity among Team Members in similar positions.

We are committed to maintaining fair and equitable pay practices and regularly review compensation to ensure alignment across our workforce.

Moffitt Career Site

If you have the vision, passion, and dedication to contribute to our mission,

then we have a place for you!

1. Equal Employment Opportunity

Moffitt Cancer Center is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. We seek candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.

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