ZipRecruiter

Log In

1

Machine Learning Defense Jobs in Michigan (NOW HIRING)

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

... defense technologies. We're reimagining the minerals supply chain by combining deep industry ... As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ...

Deloitte

Cyber - SecOps - Consultant

Grand Rapids, MI · On-site

... machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI ...

Deloitte

Cyber - SecOps - Consultant

Detroit, MI · On-site

... machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI ...

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 ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

The role involves working across various data domains and collaborating with machine learning ... and defense applications. Founded in 2022, the company is headquartered in Houston, USA, with a ...

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 ...

next page

Showing results 1-20

All JobsMachine Learning Defense JobsMachine Learning Defense Jobs in Michigan

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 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 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 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 Engineer

Mariana Minerals

Ann Arbor, MI • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to develop and improve machine learning systems for mineral refining facilities, working with real data to enhance operational efficiency.
Responsibilities:
• Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers.
• Build and refine pieces of our training environments—reward functions, observations, and action logic—with guidance from senior engineers.
• Train control models, track and interpret their performance, and dig into why a model underperforms.
• Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
• Write clean, well-tested code and contribute to the services that put models into production.
• Partner with process and chemistry experts to understand the unit operations you're modeling.
Qualifications:
Required:
• 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth.
• Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
• Proficiency in Python and comfort reading and debugging an existing codebase.
• Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
• A self-starter who asks good questions, ships, and escalates blockers early.
Company:
Mariana Minerals develops mineral projects using technology to supply critical minerals for energy, AI, and defense applications. Founded in 2022, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Apply