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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI ML - Senior Associate - Machine Learning Engineer - **Company:** Michigan Technological University - **Location:** Dayton, OH, United States - **Experience:** Expert - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Data Security, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Tensorflow, Scientific Computating, High Performance Computing, Chatbots, Pytorch, Large Language Models, Information Technology, Machine Learning Operations - **Published:** September 7, 2026 - **Apply:** https://nlppeople.com/apply/cc0e ## About the Role Master's or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related field Required Experience 1. Minimum of 6 years of relevant experience in applied ML research or ML system development 2. Experience leading technical tasks or workstreams within ML projects Desirable Education and/or Experience 1. 8-12 years of experience in a related technical field 2. Experience serving as PI or Technical Lead on funded research projects, including responsibility for scope, execution, and deliverables 3. Experience leading technical proposal efforts (BAAs, SBIR/STTR, RFPs) 4. Experience contributing to research proposal capture strategy 5. Experience contributing to publications or conference presentations 6. Experience coordinating small teams or groups within ML-focused projects Required Knowledge, Skills, and/or Abilities 1. 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 2. Strong knowledge of ML frameworks (e.g., PyTorch, TensorFlow) and Python-based development 3. Proficiency in Python and scientific computing libraries 4. Ability to design and execute rigorous experimental methodologies 5. Ability to communicate technical concepts to sponsors and stakeholder Desirable Knowledge, Skills, and/or Abilities 1. Active government security clearance at Secret-level or higher 2. Knowledge of sensor-integrated ML (e.g., RF, SAR, geospatial, multimodal data) 3. Experience with MLOps and scalable ML infrastructure 4. Ability to deploy ML systems in secure, hybrid, or HPC environments 5. Ability to guide research technical direction across multiple related efforts or capability areas of a program, Senior (5+ years of experience) Tagged as: Academia, Machine Learning, NLP, United States ## Description We are seeking a Senior Machine Learning (ML) Engineer to lead technical efforts in applied ML research and development (R&D). This role focuses on designing, developing, and evaluating advanced ML algorithms and systems, leading technical execution across research programs, and advancing capabilities from early-stage concepts through prototype demonstration. The successful candidate will serve as a technical leader within projects and contribute to proposal development and research direction., 1. Lead the development and evaluation of ML algorithms, models, and prototype systems 2. Lead design, development, and evaluation of ML models for structured, unstructured, and sensor-derived data 3. Lead technical execution of ML efforts within research programs 4. Translate sponsor needs into technically sound ML approaches within project scope 5. Define experimental design, validation strategies, and performance metrics to assess model performance and robustness 6. Architect ML pipelines for data ingestion, training, validation, and deployment 7. Present technical results to sponsors and contribute to reports, publications, and briefings 8. Develop and evaluate prototype ML systems, including integration with sensing, software, or hardware platforms 9. Advance ML capabilities across TRLs 2-6 through modeling, experimentation, and demonstration 10. Contribute to proposal development and technical direction within research efforts 11. Mentor junior engineers and support development of technical staff 12. Commit to learning about continuous improvement strategies and applying them to everyday work. Actively engage in University continuous improvement initiatives 13. Apply safety-related knowledge, skills, and practices to everyday work., 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. ## Related Videos - [Machine Learning: Promising, but Perilous](https://www.wearedevelopers.com/videos/627-machine-learning-promising-but-perilous) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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