Machine Learning Engineer
Ann Arbor, MI · On-site
They are seeking a Machine Learning Engineer to develop and improve machine learning systems for ... and defense technologies. Founded in , the company is headquartered in San Francisco, CA, US ...
Machine Learning Engineer
Ann Arbor, MI · On-site
They are seeking a Machine Learning Engineer to develop and improve machine learning systems for ... and defense technologies. Founded in , the company is headquartered in San Francisco, CA, US ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $160K/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 ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $160K/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 ...
Machine Learning Engineer III Job No: 26056 Department: Michigan Tech Rsrch Institute(MTRI) Work ... Research focus areas include defense, health, energy, automotive, environment, and aerospace. The ...
Machine Learning Engineer III Job No: 26056 Department: Michigan Tech Rsrch Institute(MTRI) Work ... Research focus areas include defense, health, energy, automotive, environment, and aerospace. The ...
Machine Learning Engineer II Job No: 26057 Department: Michigan Tech Rsrch Institute(MTRI) Work ... Research focus areas include defense, health, energy, automotive, environment, and aerospace. The ...
Machine Learning Engineer II Job No: 26057 Department: Michigan Tech Rsrch Institute(MTRI) Work ... Research focus areas include defense, health, energy, automotive, environment, and aerospace. The ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
$160K - $200K/yr
... defense technologies. We're reimagining the minerals supply chain by combining deep industry ... As a Staff Machine Learning Engineer at Mariana, you'll set the technical direction for how we make ...
Staff Machine Learning Engineer
Ann Arbor, MI · On-site
$160K - $200K/yr
... defense technologies. We're reimagining the minerals supply chain by combining deep industry ... As a Staff Machine Learning Engineer at Mariana, you'll set the technical direction for how we make ...
Research focus areas include defense, health, energy, automotive, environment, and aerospace. The ... We are seeking a Machine Learning (ML) Engineer to contribute to applied ML research and ...
Research focus areas include defense, health, energy, automotive, environment, and aerospace. The ... We are seeking a Machine Learning (ML) Engineer to contribute to applied ML research and ...
Machine Learning Program Lead Job No: 26049 Department: Michigan Tech Rsrch Institute(MTRI) Work ... Research focus areas include defense, health, energy, automotive, environment, and aerospace. The ...
Machine Learning Program Lead Job No: 26049 Department: Michigan Tech Rsrch Institute(MTRI) Work ... Research focus areas include defense, health, energy, automotive, environment, and aerospace. The ...
Research focus areas include defense, health, energy, automotive, environment, and aerospace. The ... We are seeking a Senior Machine Learning (ML) Engineer to lead technical efforts in applied ML ...
Research focus areas include defense, health, energy, automotive, environment, and aerospace. The ... We are seeking a Senior Machine Learning (ML) Engineer to lead technical efforts in applied ML ...
Research focus areas include defense, health, energy, automotive, environment, and aerospace. The ... We are seeking a senior technical leader to build, grow, and direct MTRI's machine learning (ML ...
Research focus areas include defense, health, energy, automotive, environment, and aerospace. The ... We are seeking a senior technical leader to build, grow, and direct MTRI's machine learning (ML ...
... 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 ...
... 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 ...
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 ...
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 ...
Sr. Data Engineer
Ann Arbor, MI · On-site
$103K - $140K/yr
... and defense technologies. They are seeking a Senior Data Engineer to design and build data ... The role involves working across various data domains and collaborating with machine learning ...
Sr. Data Engineer
Ann Arbor, MI · On-site
$103K - $140K/yr
... and defense technologies. They are seeking a Senior Data Engineer to design and build data ... The role involves working across various data domains and collaborating with machine learning ...
... defense and commercial applications • Writing technical documentation supporting code, program ... Applying unsupervised and/or supervised machine learning techniques • Applying and/or developing ...
... defense and commercial applications • Writing technical documentation supporting code, program ... Applying unsupervised and/or supervised machine learning techniques • Applying and/or developing ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
AI Expert- Software
Detroit, MI · On-site
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 ...
AI Expert- Software
Detroit, MI · On-site
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 ...
... Engine SDK to deploy machine learning based virtual driver applications. • SDK Feature ... Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense ...
... Engine SDK to deploy machine learning based virtual driver applications. • SDK Feature ... Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense ...
... to defense and commercial applications • Interface with both internal and external leadership to communicate technical status Qualifications : Required : • BS in machine learning, computer ...
... to defense and commercial applications • Interface with both internal and external leadership to communicate technical status Qualifications : Required : • BS in machine learning, computer ...
Machine Operator
$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 ...
Machine Operator
$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 ...
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 ...
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 ...
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:
Full-time
Re-posted 4 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 is a software-first, vertically integrated minerals company focused on supplying the minerals critical to modern energy, AI, and defense technologies. Founded in , the company is headquartered in San Francisco, CA, US, , with a team of 51-200 employees. The company is currently Growth Stage.
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 is a software-first, vertically integrated minerals company focused on supplying the minerals critical to modern energy, AI, and defense technologies. Founded in , the company is headquartered in San Francisco, CA, US, , with a team of 51-200 employees. The company is currently Growth Stage.