Senior Machine Learning Engineer

Uvmjobs; Burlington (VT); Hybrid; USD 125,000 - 145,000; Full time

Benefits offered by this job

Full-time telework

Job 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 ARPA-H funded research. You will design, build, and deploy models in a secure AWS environment using SageMaker, setting standards for the lab and guiding junior staff.

You will lead multi-disciplinary collaboration, work with EHR and sensor data, and contribute to grant-funded goals, with telework eligibility and a strong emphasis on

Qualifications

• MS or higher in engineering, CS, physics, or mathematics with 3–5 years of applied ML experience.
• Proficient in Python.
• Experience deploying ML in secure cloud environments (e.g., Docker, AWS, SageMaker).
• Ability to work independently and with a multidisciplinary team.
• Demonstrated academic productivity: publications or presentations.
• 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.

Responsibilities

• Lead design, build, and deployment of ML models in AWS SageMaker.
• Develop models using EHR and sensor data to guide interventions.
• Serve as technical lead on the CIRCLE project and IIRABM.
• Apply active learning, GA and deep RL for calibration and regimen design.
• Mentor junior staff and coordinate with ARPA-H program officers.

Skills

Python

Docker

AWS

SageMaker

ML techniques

Independent work

Teamwork & collaboration

Publications

Education

MS or higher in engineering, CS, physics or mathematics

Tools

Docker

AWS

SageMaker

Job description

Please carefully review the details of this position below.

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.

For information on safety and security at the University of Vermont, see the annual security report by clicking on the Clery Act button in the sidebar menu.

Finalists for positions at UVM may be subject to a criminal background check.

For classified staff positions, actual hiring pay dependent on current competitor market conditions, comparable campus peer(s) at time of hire, and candidate’s experience level and length.

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

Anticipated Pay Range $125,000-$145,000

Other Information

Special Conditions

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

FLSA Exempt

Union Position

Union Position Yes, UVMSU

Position will be posted for a minimum of one week, after which it is subject to removal without notice.

Job Open Date

Job Open Date 10/06/2026

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

Open Until Filled No

Position Information

Position Title

Position Title Application Development PC4 X

Posting Number

Posting Number S6337PO

Department

Department Surgery/55770

Position Number

Position Number 00028017

Percent of Full-Time

Percent of Full-Time 1.0

Standard Hours at 1.0 FTE

Standard Hours at 1.0 FTE 37.5

Term (months per year)

Term (months per year) 12

Supplemental Questions

Required fields are indicated with an asterisk (*).

• * Please specify here where applicable. Enter "NA" if not applicable.

  (Open Ended Question)



• * How did you hear about this employment opportunity?
  
  
  • Chronicle of Higher Education
  
  
  • HigherEdJobs
  
  
  • Inside Higher Ed
  
  
  • LinkedIn
  
  
  • Seven Days
  
  
  • UVM Employee (Please specify below)
  
  
  • UVM Employment Web Site
  
  
  • Vermont JobLink (Department of Labor)
  
  
  • Other (Please specify below)