Entry Level Computer Vision Deep Learning Engineer Jobs in Pine Island, MN

We seek a highly motivated Research Associate with strong foundations in both theoretical artificial intelligence/machine learning (AI/ML) and applied data-driven research, particularly in health and biomedical domains. The position is for a 1-2-year paid fellowship working under the mentorship of Dr. Hojjat Salehinejad. The ideal candidate will demonstrate deep expertise in the mathematical and algorithmic principles underlying modern AI systems, as well as the ability to translate these methods into impactful real-world solutions to improve patient outcomes.
Required Qualifications
The candidate must possess strong expertise in:
• Data structures and algorithms, with rigorous understanding of computational complexity and optimization
• Stochastic processes, statistical learning theory, and machine learning, including deep learning
• Theoretical foundations of AI/ML, such as probabilistic modeling, generalization theory, optimization methods, and representation learning
• Advanced programming in Python, including scientific computing and ML libraries (e.g., Pandas, Scikit-learn)
• Deep learning frameworks such as TensorFlow and/or PyTorch
• Linux environments and shell scripting
• Database systems (e.g., MySQL, Redis)
• Containerization technologies (e.g., Docker)
Experience with Google Cloud Platform (GCP) or other large-scale cloud computing environments is considered a plus.
The candidate must have a strong track record of peer-reviewed publications demonstrating both methodological rigor and applied impact. Excellent proficiency in all four English language skills is required, with particular strength in scientific writing and manuscript preparation.
Role and Responsibilities
The Research Associate will work independently and lead research initiatives at the intersection of AI/ML methodology and healthcare transformation. Responsibilities include:
• Designing and developing novel AI/ML algorithms grounded in solid theoretical principles
• Translating advanced computational methods into deployable solutions for healthcare systems
• Leading interdisciplinary collaborations
• Publishing high-impact scientific work
• Contributing to health services research (HSR), health policy, and quantitative health sciences
Research activities may intersect with different clinical departments across the Mayo Clinic where advanced computational and statistical modeling approaches are required. The successful candidate will combine strong theoretical depth with demonstrated ability to implement scalable, clinically meaningful AI systems that improve patient care and health outcomes.
Qualifications
Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program.
About Us
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights

• Medical: Multiple plan options.
• Dental: Delta Dental or reimbursement account for flexible coverage.
• Vision: Affordable plan with national network.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Retirement: Competitive retirement package to secure your future.

About the Team
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.