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Machine Learning Defense Jobs in Saint Paul, MN (NOW HIRING)

Onsights

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

Anno.ai is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of next-generation autonomous systems. As a Senior Machine Learning Engineer, you ...

Deloitte

Cyber - SecOps - Consultant

Minneapolis, MN · 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 ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Lyntris is a defense technology company that connects sensing to action across the connected ... The Data Scientist will apply knowledge of statistics, machine learning, programming, and data ...

Accelint Holdings LLC

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

Lyntrisis a defense technology company that connects sensing to action across the connected ... The Data Scientist will apply knowledge of statistics, machine learning, programming, and data ...

American Flexible Produ

Machine Operator

Chaska, MN · On-site

$20 - $24/hr

... defense, medical, electronics, and other high-performance applications. We are also a Preferred ... Ability to apply their knowledge/experience and open to learning new skills * Willing to put in ...

American Flexible Produ

Machine Operator

Chaska, MN · On-site

$20 - $24/hr

... defense, medical, electronics, and other high-performance applications. We are also a Preferred ... Ability to apply their knowledge/experience and open to learning new skills * Willing to put in ...

Minco Products

Machinist

Fridley, MN · On-site

$19 - $40/hr

... defense, oil and gas, power generation, and other high-reliability applications. Our experienced ... Applying machine shop theory and practices * Reading blueprints, sketches, drawings, manuals, and ...

Minco Products

Machinist

Fridley, MN

$40/hr

... defense, oil and gas, power generation, and other high-reliability applications. Our experienced ... Applying machine shop theory and practices * Reading blueprints, sketches, drawings, manuals, and ...

Minco Products

Machinist

Fridley, MN · On-site

$19 - $40/hr

... defense, oil and gas, power generation, and other high-reliability applications. Our experienced ... Applying machine shop theory and practices * Reading blueprints, sketches, drawings, manuals, and ...

Minco Products

Machinist

Fridley, MN

$19 - $40/hr

... defense, oil and gas, power generation, and other high-reliability applications. Our experienced ... Applying machine shop theory and practices * Reading blueprints, sketches, drawings, manuals, and ...

Galois, Inc.

Principal Scientist

Minneapolis, MN · On-site

... defense, healthcare, semiconductors, and fintech. Life at Galois: People are the foundation of ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis

Pohlad Companies

Senior Controls Engineer

Shoreview, MN · On-site

$98K - $129K/yr

... learning, and innovation will allow you and your technical work to be noticed fast. From ... systems, defense systems, or other safety-critical machinery is preferred * Experience with ...

Geologics

Technician III

Maple Grove, MN

$35/hr

Top Aerospace and Defense company Location: Maple Grove, MN Schedule: 9/80 Education: 2-year ... Understanding basic machining techniques. * Basic understanding of GD&T. If interested in learning ...

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All JobsMachine Learning Defense JobsMachine Learning Defense Jobs in Saint Paul, MN

Machine Learning Defense information

See Saint Paul, MN salary details

$25.8K

$43.1K

$89K

How much do machine learning defense jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning defense in Saint Paul, MN is $43,068.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Machine Learning Defense jobs in Saint Paul, MN?

For Machine Learning Defense jobs in Saint Paul, MN, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Saint Paul, MN look for?

The top searched job categories for Machine Learning Defense jobs in Saint Paul, MN are:

What cities near Saint Paul, MN are hiring for Machine Learning Defense jobs?

Cities near Saint Paul, MN with the most Machine Learning Defense job openings:

Machine Learning Defense jobs near you
Infographic showing various Machine Learning Defense job openings in Saint Paul, MN as of June 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,068 per year, or $20.7 per hour.

Senior Machine Learning Engineer

Onsights

Minneapolis, MN • On-site

$109K - $149K/yr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Anno.ai is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of next-generation autonomous systems. As a Senior Machine Learning Engineer, you will design, develop, test, document, deploy, and maintain production machine learning and statistical modeled software to automate processes and streamline customer mission operations.
Responsibilities:
• Operationalize machine learning models by building and maintaining robust, scalable pipelines for training, evaluation, deployment, and lifecycle management across cloud, on-prem, and edge compute environments
• Work closely with autonomy researchers, software engineers, systems teams, and field operators to translate mission requirements into deployable ML capabilities
• Implement automated CI/CD workflows tailored to ML systems, ensuring repeatable experiments, reliable packaging, and continuous delivery of both up to date models and associated data pipelines
• Manage ML runtime infrastructure using containerization and orchestration frameworks (e.g., Docker, Kubernetes) and incorporating model serving platforms (e.g., Seldon, KServe, BentoML)
• Develop monitoring systems to track model health, performance, data drift, system utilization, and mission relevance using tools such as Prometheus, Grafana, and ELK/EFK stacks
• Ensure ML deployments meet defense, customer, and platform security requirements, with emphasis on data integrity, traceability, and operational reliability
• Evaluate and integrate emerging MLOps, distributed training, and edge inference technologies to enhance reproducibility, extensibility, scalability, and deployment speed of ML systems
Qualifications:
Required:
• Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field (Master's preferred)
• 5+ years of professional experience in software engineering, machine learning engineering, MLOps, or related roles
• Experience operationalizing ML systems at production scale, including model training, versioning, packaging, deployment, and monitoring
• Strong proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow)
• Hands-on experience with MLOps frameworks and workflow tooling (e.g., MLflow, Kubeflow, Airflow, DVC, BentoML)
• Experience deploying containerized ML services using Docker and orchestrating workloads using Kubernetes (including air-gapped or constrained deployments)
• Understanding of CI/CD workflows and DevOps practices applied to ML systems (e.g., Git, Code Review, Metrics Evaluation)
• Familiarity with monitoring, observability, and logging platforms (e.g., Prometheus, Grafana, ELK/EFK)
• Ability to obtain and maintain U.S. Government security clearance (U.S. Citizenship required)
• Ability to travel up to 20%
Preferred:
• Experience with deploying models and associated runtimes to Edged Devices
• Experience optimizing models for memory and CPU constrained systems (e.g., embedded systems, microcontrollers)
• Prior experience supporting U.S. Department of War programs, cUAS systems, or mission-critical autonomous platforms
• Experience working with diverse or atypical data sources (e.g., Audio/Acoustics, RF signals, EO/IR imagery)
• Experience deploying and optimizing ML inference on edge or resource-limited compute systems
• Experience with Explainable/Auditable AI/ML tools and interpretable model design
• Experience with AI Software Development Tools (e.g., GitHub CoPilot, Claude)
Company:
Online analytics for the physical world. Built on the tech you already own. Stop buying tools and start driving measurable progress. Founded in 2019, the company is headquartered in Minnetonka, USA, with a team of 11-50 employees. The company is currently Early Stage.

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