Machine Learning Engineer II

Michigan Technological University
Houghton, MI, United States
about 2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Continuous Integration Distributed Systems Python (Programming Language) Machine Learning Tensorflow Scientific Computating Software Engineering Data Processing Pytorch Model Validation Information Technology Machine Learning Operations
+1 more
Software Version Control

Job description

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.

Requirements

  • Bachelor’s degree or higher in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related technical field

Required Experience

  • Minimum of 3 years of relevant experience with Bachelor’s degree, OR minimum of 1 year of relevant experience with a Master’s degree

Desirable Education and/or Experience

  1. Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related technical field

  2. 4-10 years of experience in a related technical field

  3. Experience with remote sensing, RF data, or sensor-derived datasets

  4. Experience with MLOps, CI/CD, or model lifecycle management

  5. Familiarity with cloud or on-prem compute environments

  6. Experience with distributed computing or GPU acceleration

Required Knowledge, Skills, and/or Abilities

  1. Ability to obtain a U.S. Department of Defense (DoD) 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.

  2. Experience developing ML models and working with modern ML frameworks (e.g., PyTorch, TensorFlow)

  3. Proficiency in Python and scientific computing libraries

  4. Experience with data processing, model evaluation, and experimental design

  5. Ability to design, implement, and evaluate ML models for structured, unstructured, or sensor-derived data

  6. Familiarity with software development practices and version control

  7. Ability to work collaboratively in a multidisciplinary research environment.

  8. Strong written and verbal communication skills.

Desirable Knowledge, Skills, and/or Abilities

  1. Active government security clearance at Secret-level or higher

  2. Exposure to DoD or DARPA-funded research environments

  3. Ability to lead the execution of well-defined technical tasks, including planning, implementation, and reporting

  4. Ability to provide technical input to proposal sections, including methods, data approaches, or evaluation strategies

  5. Ability to serve as a technical resource to junior staff or team members in a limited domain, 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.

About the company

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 (https://www.mtu.edu/admissions/academics/majors/) and graduate (https://www.mtu.edu/gradschool/programs/degrees/) 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., 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 (https://www.mtu.edu/hr/current/docs/aod-notification.pdf) 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.

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