University of Vermont

Senior Machine Learning Engineer

Closes: Dec 7, 2026

Salary: $125,000 – $145,000 per year

Posting Summary

The An-Cockrell Lab at the University of Vermont seeks a subject matter expert in applied machine learning to lead the technical development of AI/ML models for the lab's ARPA-H-funded research portfolio. Working independently with general direction from the Principal Investigator, this position designs, builds, and deploys machine learning models in a secure Amazon Web Services (AWS) environment using modern tools such as SageMaker. The position also sets the standards and practices other lab…

staff follow in that environment.

The role oversees the continued development of models that use electronic health record (EHR) and medical sensor data to predict the need for life-saving interventions. It also serves as a technical lead on the CIRCLE project, a multi-year effort to build a digital twin around the Innate Immune Response Agent-Based Model (IIRABM). This work includes designing multi-organ compartment and pharmacokinetic/pharmacodynamic (PK/PD) extensions, and applying active learning methods, including Genetic Algorithms and Deep Reinforcement Learning, to calibrate the model and develop curated drug regimens that support healing. The position also applies large language model (LLM) fine-tuning and prompt engineering to medical applications.

This person solves complex, undefined research problems where established methods may not exist, and their work has a direct impact on project milestones and deliverables. The position trains, guides, and reviews the work of junior technical staff. It serves as a primary technical contact with ARPA-H program officers and external collaborators, and contributes technical content, budgets, and computing plans to future grant proposals.

Minimum Qualifications (or equivalent combination of education and experience)

A MS or higher in engineering, computer science, physics or mathematics plus 3-5 years of applied ML experience.
Proficient with Python
Knowledge and experience using tools to integre machine learning algorithms in secure cloud environments (e.g., Docker).
Proficient with AWS
Proficient with SageMaker
Knowledge and experience with machine learning and artificial intelligence techniques.
Demonstrated track record of working well with a multi-disciplinary team of researchers.
Works independently with general direction from the principal investigator as needed.
History of successful academic productivity in terms of publications or presentations at national-level meetings.
Ability to gain a thorough knowledge and understanding of university policies, procedures, and guidelines.

Desirable Qualifications

Familiarity with DARPA or ARPA-H funding

Anticipated Pay Range

$125,000-$145,000

Other Information

Special Conditions

A probationary period may be required, Contingent on continued funding, This position is eligible for full-time telework in accordance with the university telecommuting policy, Background Check required for this position

FLSA

Exempt

Union Position

Yes, UVMSU

Job Location

Burlington, Vermont, United States

Job Close Date (Jobs close at 11:59 PM EST.)

Open Until Filled

Department

Surgery/55770

Standard Hours at 1.0 FTE

37.5

Term (months per year)

For full job description and to apply, visit https://www.uvmjobs.com/postings/88428

This is a Preview Listing…

Finalise to make live.

Find Your Best Opportunity

Tell them AcademicJobs.com sent you!

About the employer

University of Vermont

3.5 Star Employer Ranking

AcademicJobs.com is the premier platform to discover UVM jobs, connecting talented professionals with exceptional career opportunities at one of New England’s leading public research universities. The University of Vermont (UVM), located in Burlington, Vermont, is renowned for its innovative research and commitment to sustainability, making UVM uni jobs highly sought after by academics and professionals globally. UVM careers offer a dynamic and collaborative environment for individuals to thrive. UVM university careers span a diverse range of disciplines, reflecting the university’s key areas of academic specialization, including environmental science, health sciences, agriculture, education, and social sciences. Employment UVM includes roles such as professors, research fellows, lecturers, and professional staff positions, catering to various expertise levels. For those pursuing UVM jobs Burlington, the university’s picturesque campus provides a collaborative workplace in a vibrant city known for its natural beauty and cultural richness. UVM vacancies and job postings are showcased on AcademicJobs.com, where candidates can explore opportunities in teaching, cutting-edge research, and administrative roles. Jobs at UVM cover fields like climate change adaptation, medical research, and food systems, aligning with the university’s mission to address global challenges through scholarship and community engagement. Each UVM vacancy is an opportunity to contribute to impactful projects within a supportive academic community. UVM Employment Opportunities are extensive, with UVM job Opportunities ranging from academic faculty to technical and operational roles. A UVM Career offers the chance to join an institution that values diversity, environmental stewardship, and societal impact. UVM uni openings are regularly updated on AcademicJobs.com, ensuring access to the latest UVM vacancies. Jobs at UVM uni are ideal for those passionate about advancing knowledge and sustainable solutions. UVM job postings include positions in psychology, engineering, and professional services such as IT and student support. UVM Employment through AcademicJobs.com connects talented individuals with UVM Uni vacancies, providing a seamless pathway to join a forward-thinking university driving progress in Vermont and beyond.

Visit the employer page