> Markdown version of [/jobs/ext/642304-machine-learning-engineer-ii](https://www.wearedevelopers.com/jobs/ext/642304-machine-learning-engineer-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer II - **Company:** Michigan Technological University - **Location:** Houghton, MI, United States - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Continuous Integration, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Scientific Computating, Software Engineering, Data Processing, Pytorch, Model Validation, Information Technology, Machine Learning Operations, Software Version Control - **Published:** June 25, 2026 - **Apply:** https://www.juju.com/job/00000000gawkzk ## About the Role * 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. ## 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. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine Learning: Promising, but Perilous](https://www.wearedevelopers.com/videos/627-machine-learning-promising-but-perilous) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)