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Machine Learning Biomedical Internship Jobs in Irvine, CA

Moffitt

AI/ML Engineer Precision Oncology

West Covina, CA · On-site

$131K - $201K/yr

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 ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

... machine learning engineers to enable advanced analytics and AI applications. This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

... machine learning engineers to enable advanced analytics and AI applications. This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

... machine learning engineers to enable advanced analytics and AI applications. This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative ...

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All JobsMachine Learning Biomedical JobsMachine Learning Biomedical Internship JobsMachine Learning Biomedical Internship Jobs in Irvine, CA

Machine Learning Biomedical Internship information

See Irvine, CA salary details

$27.4K

$45.7K

$94.5K

How much do machine learning biomedical internship jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning biomedical internship in Irvine, CA is $45,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $49,400.00 per year, depending on experience, location, and employer.

What is a machine learning biomedical internship?

A Machine Learning Biomedical Internship is a temporary position where students or recent graduates work with professionals to apply machine learning techniques in the biomedical field. Interns typically assist with data analysis, model development, and research projects that involve biological or medical data. The goal is to gain practical experience in using artificial intelligence to solve healthcare challenges, such as disease prediction, medical imaging, or drug discovery. These internships often require knowledge of programming languages like Python and familiarity with machine learning frameworks. They provide valuable hands-on experience and networking opportunities for those interested in biomedical data science careers.

What are the key skills and qualifications needed to thrive as a machine learning biomedical intern, and why are they important?

To excel as a Machine Learning Biomedical Intern, you need a solid background in computer science, statistics, and biology, often supported by coursework or a degree in related fields. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow or scikit-learn), and knowledge of data analysis tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable interns to develop effective models, collaborate with multidisciplinary teams, and contribute meaningful insights to biomedical research projects.

What types of projects do interns typically work on during a machine learning biomedical internship?

Interns in Machine Learning Biomedical roles often contribute to projects involving the development and validation of algorithms for analyzing medical data, such as imaging, genomics, or electronic health records. They may assist with data preprocessing, model training, and performance evaluation under the guidance of experienced researchers or engineers. Collaboration is common, as interns often work closely with interdisciplinary teams including data scientists, clinicians, and software engineers. This hands-on experience provides valuable exposure to real-world biomedical challenges while strengthening both technical and communication skills.
What are popular job titles related to Machine Learning Biomedical Internship jobs in Irvine, CA? For Machine Learning Biomedical Internship jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Internship jobs in Irvine, CA look for? The top searched job categories for Machine Learning Biomedical Internship jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Machine Learning Biomedical Internship jobs? Cities near Irvine, CA with the most Machine Learning Biomedical Internship job openings:
Machine Learning Biomedical Internship jobs near you
Infographic showing various Machine Learning Biomedical Internship job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $45,709 per year, or $22 per hour.

AI/ML Engineer Precision Oncology

Moffitt

West Covina, CA • On-site

$131K - $201K/yr

Full-time

Posted 4 days ago

Job description

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.

2. Reasonable Accommodation

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