Senior Machine Learning Engineer
- Employer
- University of Vermont
- Location
- Burlington
- Salary
- $125,000-$145,000
View more categoriesView less categories
- Employment Type
- Full Time
- Institution Type
- Four-Year Institution
Job Details
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
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)
12
For full job description and to apply, visit https://apptrkr.com/9880860"">https://www.uvmjobs.com/postings/88428
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Organization
The University of Vermont’s hilltop campus looks out across one of America’s most vibrant small cities to Lake Champlain and the Adirondack Mountains beyond. Here, students’ educational experience and activities are enriched by our location — from the energy and innovation of Burlington to the forests, farms, and independent spirit of Vermont.
UVM is a Public Ivy and top 100 research university of a perfect size, large enough to offer a breadth of ideas, resources, and opportunities, yet small enough to enable close faculty-student mentorship. With a commitment to undergraduate education, UVM professors — world-class researchers, scholars, and artists — bring their discoveries into the classroom and their students into the field.
You’ll find UVM faculty and students studying the effects of climate change aboard the Melosira, a research vessel and floating lab; testing new vaccines at the on-campus medical center; launching local start-ups; and working with refugees at Burlington community centers.
Since 1791, the University of Vermont has worked to move humankind forward. The fifth oldest university in New England, UVM boasts a legacy of important firsts in education: the first college to declare public support of freedom of religion and the first to admit women and African-Americans to Phi Beta Kappa.
Today, the university continues to provide endless ways to explore the world, challenge ideas, and dig in on the most pressing issues of our time.
At a glance:
- Founded in 1791, became a Land Grant university in 1862
- Home to seven undergraduate schools and colleges, the Honors College, Graduate College, Larner College of Medicine, and Division of Continuing and Distance Education
- Enrollment: 10,267 undergraduates, 1,462 graduate students, 461 medical students, 23 post-baccalaureate certificates, 892 non-degree students
- 1,556 full- and part-time faculty
- Offering 100+ bachelor’s degree programs, 50 master’s programs, 29 accelerated master’s programs, and 22 doctoral programs
- 18 Division I athletic teams
- “UVM” stands for Universitas Viridis Montis, Latin for University of the Green Mountains
Our vision
To be among the nation’s premier small research universities, preeminent in our comprehensive commitment to liberal education, environment, health and public service.
Our mission
To create, evaluate, share and apply knowledge and to prepare students to be accountable leaders who will bring to their work dedication to the global community, a grasp of complexity, effective problem-solving and communication skills, and an enduring commitment to learning and ethical conduct.
About Burlington:
UVM’s hometown perennially appears on national rankings that laud its livability, access to nature and recreation (including the best skiing in the northeast), thriving food and music scene, rising identity as a technology and innovation hub, and its status as a top college town. City perks include an active pedestrian marketplace in the heart of downtown, 8 miles of waterfront along Lake Champlain featuring stunning sunsets over the Adirondacks beyond, and a 12-mile paved bike trail that runs along the lake. Burlington’s nickname, BTV, comes from the code for its airport, just 10 minutes from campus. With Montreal a 90-minute and Boston a 3.5-hour drive away, international and metropolitan culture are easily accessible for weekend adventures.
With a metro-area population of approximately 210,000, Burlington is Vermont’s largest city. In addition to UVM, large local employers include Global Foundries, GE Healthcare, Keurig Green Mountain, Dealer.com, Seventh Generation and Ben & Jerry’s Homemade. Vermont’s public K-12 schools are perennially ranked among the best in the nation.
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