University of Vermont
Senior Machine Learning Engineer
Edtech.com's Summary
- Lead design, building, and deployment of machine learning models in AWS using SageMaker and Docker.
- Develop predictive models using electronic health record and medical sensor data for life-saving interventions.
- Serve as technical lead on CIRCLE project, including multi-organ compartment modeling and pharmacokinetics/dynamics extensions.
- Apply active learning methods like Genetic Algorithms and Deep Reinforcement Learning for model calibration and drug regimen development.
- Utilize large language model fine-tuning and prompt engineering applied to medical applications.
- Mentor and review junior technical staff and liaise with ARPA-H program officers and external collaborators.
- Contribute to technical content, budgets, and computing plans for grant proposals.
- Required skills: Master’s or higher in engineering, computer science, physics, or mathematics with 3-5 years applied ML experience, proficiency in Python, AWS, SageMaker, Docker, and AI/ML techniques.
- Desirable: Familiarity with DARPA or ARPA-H funding.
- Compensation range: $125,000 - $145,000 annually; Exempt position with union representation (UVMSU).
Senior Machine Learning Engineer Full Description
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The University of Vermont 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, disability, protected veteran status, or any other category legally protected by federal or state law.
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| Advertising/Posting Title | Senior Machine Learning Engineer |
|---|---|
| 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) | 1) A MS or higher in engineering, computer science, physics or mathematics plus 3-5 years of applied ML experience. 2) Proficient with Python 3) Knowledge and experience using tools to integre machine learning algorithms in secure cloud environments (e.g., Docker). 4) Proficient with AWS 5) Proficient with SageMaker 4) Knowledge and experience with machine learning and artificial intelligence techniques. 5) Demonstrated track record of working well with a multi-disciplinary team of researchers. 6) Works independently with general direction from the principal investigator as needed. 7) History of successful academic productivity in terms of publications or presentations at national-level meetings. 8) 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 |
Position will be posted for a minimum of one week, after which it is subject to removal without notice.
| Job Location | Burlington, Vermont, United States |
|---|---|
| Job Open Date | 10/06/2026 |
| Job Close Date (Jobs close at 11:59 PM EST.) | |
| Open Until Filled | No |
The University of Vermont is a welcoming, educationally purposeful community committed to creating an inclusive environment that embraces intellectual diversity and global perspectives. We seek to prepare students to be accountable leaders who will bring to their work a grasp of complexity, effective problem-solving and communication skills, and an enduring commitment to learning and ethical conduct. Members of the University of Vermont community embrace and advance the values of Our Common Ground: Respect, Integrity, Innovation, Openness, Justice, and Responsibility. Staff play a critical role in this effort and the successful candidate will demonstrate a strong commitment to UVM’s mission and advancing Our Common Ground values through the execution of their job duties.
| Position Title | Application Development PC4 X |
|---|---|
| Posting Number | S6337PO |
| Department | Surgery/55770 |
| Position Number | 00028017 |
| Percent of Full-Time | 1.0 |
| Standard Hours at 1.0 FTE | 37.5 |
| Term (months per year) | 12 |
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