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Machine Learning Defense Jobs in Michigan (NOW HIRING)

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI

Integrate machine learning and artificial intelligence models into robotic platforms and embedded ... Experience supporting government, defense, or regulated programs * Ability to obtain and maintain a ...

Deloitte

Manager - Data Science / Data Lake

Detroit, MI · On-site

... machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence ...

Eccalon LLC

AI Expert- Software

Detroit, MI

Integrate machine learning models, LLMs, and AI services into backend and full-stack systems ... Background supporting government, defense, or regulated environments. * Ability to obtain and ...

Howmet Aerospace

AI Engineer

Whitehall, MI · On-site

Responsibilities : • Develop and deploy machine learning models for manufacturing use cases ... and forged wheels for aerospace and defense applications. Founded in 2020, the company is ...

Howmet Aerospace

Analyst Engineer

Whitehall, MI

Collaborate with Data Scientists and Machine Learning Engineers to understand model input ... defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is ...

Aampower

Machine Operator

Auburn Hills, MI · On-site

$18.50/hr

... line of defense in the quality control process. They work as a team to produce high quality ... learning. No previous experience required. Starting pay is $18.50/hour with a $1.00/hour shift ...

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Machine Learning Defense information

What are the key skills and qualifications needed to thrive as a Machine Learning Defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What are some common challenges faced by professionals in Machine Learning Defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.
What are popular job titles related to Machine Learning Defense jobs in Michigan? For Machine Learning Defense jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Michigan look for? The top searched job categories for Machine Learning Defense jobs in Michigan are:
What cities in Michigan are hiring for Machine Learning Defense jobs? Cities in Michigan with the most Machine Learning Defense job openings:
Machine Learning Defense jobs near you

Machine Learning Engineering Intern

Mariana Minerals

Ann Arbor, MI • On-site

$25 - $35/hr

Internship

Posted 16 days ago

Job description

About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
The Role
We are hiring a Machine Learning Engineering Intern to work on real, high-impact problems within our applied ML and operations team. You will contribute directly to building and improving models that influence real-world industrial systems and decision-making.
This role is designed to provide hands-on experience building and deploying machine learning solutions in production-like environments. You will work closely with engineers and domain experts to understand complex systems and apply ML techniques to improve performance, efficiency, and reliability.
What You'll Do
  • Work on a defined ML project with clear deliverables by the end of the internship
  • Build and experiment with models using Python, PyTorch/TensorFlow, or similar tools
  • Analyze real-world datasets to identify patterns, anomalies, and optimization opportunities
  • Support development of data pipelines, feature engineering, and model evaluation
  • Collaborate with engineers and domain experts to understand system behavior and constraints
  • Run experiments, validate results, and iterate based on findings
  • Document your work and present outcomes and learnings at the end of the internship

Qualification
  • Currently pursuing a degree in Computer Science, Machine Learning, Data Science, Chemical Engineering, or related field
  • Strong fundamentals in machine learning, statistics, and/or data analysis
  • Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, etc.)
  • Hands-on experience through projects, coursework, or internships
  • Ability to break down problems and execute independently
  • Clear communication skills and willingness to learn in a fast-paced environment

Why Join Us?
At Mariana Minerals, you'll be part of a mission-driven team reshaping the way critical minerals are sourced and supplied globally. You'll have the autonomy to make big decisions, the tools to innovate, and a culture that values ownership, smart automation, and collaboration.
Our culture is built on three principles:
  • Extreme Ownership - We take full responsibility for outcomes, relentlessly driving toward solutions.
  • Engineer Out Requirements, then Automate - We simplify, optimize, and then automate for scale.
  • Share Your Legos - We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.

Join us as we build the future of responsible mineral sourcing and supply.
Mariana is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

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