Machine learning program lead

Machine Learning Program Lead

Apply now ( Job No: 26049

Department: Michigan Tech Rsrch Institute(MTRI)

Work Type: Staff - Full Time

Location: Michigan Tech Research Institute (Ann Arbor, MI)

Full Time / Part Time: Full Time

Categories: Research

Applications Close:

Michigan Technological University is an R1 technological research university founded in 1885 in Houghton. Our rural campus is situated just miles from Lake Superior in Michigan's scenic Upper Peninsula and is home to nearly 7,500 students from more than 60 countries around the world. Consistently ranked among the best universities in the country for return on investment, Michigan's flagship technological university offers more than 185 undergraduate ( and graduate ( degree programs. Research focus areas include defense, health, energy, automotive, environment, and aerospace.

The area's waters, forests, and snowfall support year-round recreation, including skiing, snowboarding, hiking, biking, and paddling. The University is an integral part of the region, supported by a friendly and welcoming community that takes pride in being a true college town. We embrace our size, climate, sense of adventure, and originality.

Summary

At Michigan Tech Research Institute (MTRI), we develop advanced technologies that help our nation better understand, sense, and operate within complex natural and human-made environments. Our work spans multidisciplinary research and applied development, advancing ideas from foundational concepts to mission-relevant prototypes. We are seeking a senior technical leader to build, grow, and direct MTRI's machine learning (ML) research portfolio within a government-focused R&D environment. This role will shape our ML strategy, lead business development efforts, and serve as Principal Investigator on multiple programs. This position operates at the intersection of research leadership, program execution, and institutional growth. It is not a pure software engineering role.

This role is responsible for:

• Leading development and execution of MTRI's ML portfolio and growth strategy aligned with sponsor priorities

• Leading capture efforts and grow a portfolio of funded ML programs

• Serving as Principal Investigator on multiple programs

• Advancing ML capabilities from early-stage concepts (TRL 1-3) to prototype demonstrations (TRL 4-6)

• Establishing internal ML technical standards and mentoring technical staff - Providing technical direction and mentorship across ML-related efforts.

Responsibilities and Essential Duties

Define and maintain a multi-year ML research and growth roadmap aligned with sponsor priorities (DoD, AFRL, DARPA, etc.).

Identify emerging ML opportunities and shape them into competitive program concepts.

Develop and manage a portfolio of ML-focused research programs.

Contribute to institutional planning related to AI/ML capability development.

Lead and author technical volumes for white papers, BAAs, SBIR/STTR submissions, and other competitive proposals. 6. Demonstrate ownership of proposal strategy, technical approach, and win themes.

Identify and pursue new business opportunities aligned with emerging sponsor demand signals.

Build and maintain sponsor relationships to position MTRI for future work.

Develop teaming strategies and external partnerships to support transition beyond TRL 4.

Serve as Principal Investigator on multiple funded programs.

Provide overarching technical direction across ML efforts.

Ensure technical execution aligns with scope, budget, schedule, and performance metrics.

Establish rigorous experimental design, validation, and evaluation standards.

Oversee advancement of ML technologies from concept through prototype validation.

Serve as a technical authority in AI/ML within the Institute.

Mentor junior technical staff and guide cross-disciplinary integration across sensing, analytics, and systems teams. 17. Establish technical standards for ML reproducibility, data governance, and secure AI implementation.

Evaluate emerging AI hardware and software frameworks and guide adoption decisions.

Commit to learning about continuous improvement strategies and applying them to everyday work. Actively engage in University continuous improvement initiatives.

Apply safety-related knowledge, skills, and practices to everyday work.

Required Education, Certifications, Licensures

PhD in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or closely related technical field

Required Experience

12-18 years of experience in applied research and development environments

Demonstrated experience serving as Principal Investigator on multiple funded research programs

Experience managing technical execution across multiple concurrent programs

Experience advancing technologies across TRLs, particularly from TRL 2-3 through TRL 5-6

Experience mentoring or supervising technical staff

Desirable Education and/or Experience

Experience in mission-relevant domains such as remote sensing, RF sensing, geospatial analytics, or multimodal sensor fusion

Experience integrating ML capabilities into sensing systems or hardware platforms

Experience designing scalable compute architectures (cloud, hybrid, or on-prem)

Experience establishing MLOps or DevOps practices in research or secure environments

Experience implementing cybersecurity considerations for AI systems

Required Knowledge, Skills, and/or Abilities

Ability to obtain a U.S. Department of Defense security clearance, which requires United States citizenship. Obtaining a national security clearance while holding a dual citizenship will not be possible when the foreign country poses a risk to the national security of the United States.

Proven track record of leading and winning competitive government research proposals

Demonstrated technical authority in AI/ML research or applied ML system development

Strong programming proficiency in Python and experience with modern AI/ML frameworks

Exceptional written and verbal communication skills, including experience briefing sponsors and senior leadership

Desirable Knowledge, Skills, and/or Abilities

Familiarity with high-performance computing (HPC) or GPU-based architectures

Active U.S. Department of Defense security clearance at Secret-level or higher

Demonstrated success in, or potential future contributions to, working with persons with a wide variety of backgrounds and viewpoints

Work Environment and/or Physical Demands

WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually low to moderate.

Required Training and Other Conditions of Employment

Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department.

Required University Training:

• Employee Safety Overview

• Anti-Harassment, Discrimination, Retaliation Training

• Annual Data Security Training

• Annual Title IX Training

Additional training will be required by the department on a periodic basis.

Background Check:

Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.

Please note that successful applicants must have the ability to obtain a U.S. Department of Defense security clearance, which requires United States citizenship. Obtaining a national security clearance while holding a dual citizenship will not be possible when the foreign country poses a risk to the national security of the United States.

Full-Time Equivalent (FTE) % (1=100%)

1

FLSA Status

Exempt

Appointment Term

12 months

Shift

-

Pay Rate/Salary

Salary is commensurate with experience and qualifications.

Title of Position Supervisor

Executive Director

Posting Type

Internal and External

Dependent on Funding

True

Additional Information

This position is contingent upon the continued availability of external funding.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

If you require any auxiliary aids, services, or accommodations during Michigan Tech's hiring process please notify the Human Resources office at 906-487-2280 or [email protected].

Other Conditions of Employment:

Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of your appointment, and maintain eligibility without sponsorship throughout your appointment.

Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.

The Annual Security and Fire Safety Report ( contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. Michigan Tech will provide a paper copy upon request; please contact the Michigan Tech Public Safety.

In compliance with the federal Drug-Free Schools and Communities Act (DFSCA) and its implementing regulations (34 CFR Part 86), Michigan Tech is committed to maintaining a drugfree campus environment and actively promoting the health and safety of its community. Find our notice ( that outlines the University's policies, legal sanctions, health risks, and available support resources related to the unlawful possession, use, or distribution of illicit drugs and alcohol.

Required Education, Certifications, Licensures* (minimum requirements)

Advertised: 20 Apr 2026 Eastern Daylight Time

Applications Close: