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Machine Learning Defense Jobs in Phoenix, AZ (NOW HIRING)

2nd Shift Die/Wire Bonder

Phoenix, AZ · On-site

$17.25 - $22.25/hr

Ability and willingness to operate and multi-task between 2 to 3 machines * Must be able to train ... We are committed to lifelong learning, offering comprehensive skills training and tuition ...

2nd Shift Die/Wire Bonder

Phoenix, AZ · On-site

$17.25 - $22.25/hr

Ability and willingness to operate and multi-task between 2 to 3 machines * Must be able to train ... We are committed to lifelong learning, offering comprehensive skills training and tuition ...

2nd Shift Die/Wire Bonder

Phoenix, AZ · On-site

$17.25 - $22.25/hr

Ability and willingness to operate and multi-task between 2 to 3 machines * Must be able to train ... We are committed to lifelong learning, offering comprehensive skills training and tuition ...

... defense, energy, industrials, medical devices & life sciences, semiconductor, telecom and ... Advanced knowledge about machine vision systems. Understand how to debug, calibrate, and configure ...

... defense, energy, industrials, medical devices & life sciences, semiconductor, telecom and ... Advanced knowledge about machine vision systems. Understand how to debug, calibrate, and configure ...

... defense, energy, industrials, medical devices & life sciences, semiconductor, telecom and ... Advanced knowledge about machine vision systems. Understand how to debug, calibrate, and configure ...

... and learning • Ability to develop and share best practices across the shifts and network • ... energy, instrumentation, machinery, defense/aerospace, medical, cosmetics, production, or ...

Assembler - Hiring Now

Phoenix, AZ · On-site

$15 - $18.50/hr

Operate, clean, and maintain conformal coating machines, spray equipment, curing ovens, and related ... We are committed to lifelong learning, offering comprehensive skills training and tuition ...

3rd Shift Mechanical Assembler

Phoenix, AZ · On-site

$16.75 - $21/hr

Operate, clean, and maintain conformal coating machines, spray equipment, curing ovens, and related ... We are committed to lifelong learning, offering comprehensive skills training and tuition ...

2nd Shift Mechanical Assembler

Phoenix, AZ · On-site

$16.75 - $21/hr

Operate, clean, and maintain conformal coating machines, spray equipment, curing ovens, and related ... We are committed to lifelong learning, offering comprehensive skills training and tuition ...

Showing results 41-60

Machine Learning Defense information

See Phoenix, AZ salary details

$25.3K

$42.3K

$87.4K

How much do machine learning defense jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning defense in Phoenix, AZ is $42,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

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 Phoenix, AZ? For Machine Learning Defense jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Phoenix, AZ look for? The top searched job categories for Machine Learning Defense jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Machine Learning Defense jobs? Cities near Phoenix, AZ with the most Machine Learning Defense job openings:
Infographic showing various Machine Learning Defense job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,282 per year, or $20.3 per hour.

TEM Scientist - Automation & Data Workflows

Eurofins USA Material Sciences

Phoenix, AZ

Full-time

Retirement

Posted 8 days ago


Job description

Company Description

Eurofins EAG Laboratories has over 40 years experience in engineering and materials testing services. Our parent company, Eurofins Scientific, is a multi-billion-dollar global leader in engineering and scientific services with a portfolio of over 200,000 validated analytical methods. 

At EAG, curiosity fuels everything we do. Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable of—and what the world can build next. If you’re energized by materials science, analytical chemistry, engineering rigor, and solving problems that matter, you’ll feel right at home here.

Our scientists and engineers support industries ranging from semiconductors and advanced electronics to pharmaceuticals, medical devices, energy systems, and consumer products. Using advanced techniques in analytical chemistry, microscopy, surface analysis, and engineering sciences, we help clients solve complex challenges across the product lifecycle.

What sets EAG apart isn’t just our world‑class instrumentation—it’s our people. We’re problem solvers, collaborators, and lifelong learners who value precision, curiosity, and impact. Here, your work directly influences the safety, reliability, and performance of products used around the globe.

Imagine the possibilities. Let’s explore them together

Job Description

Phoenix, AZ | Weekend Shift Eligible

Eurofins EAG Laboratories is seeking a hands-on Transmission Electron Microscopy (TEM) Scientist who also has strong experience building automation, scripting, or data workflows for microscopy data.

This is a specialized, hybrid role combining advanced TEM operation and applied automation/data science in a production laboratory environment.

This role requires both:

  • Hands-on experience operating TEM/STEM systems for materials characterization
  • AND hands-on experience building or implementing automation, scripting, or data workflows (e.g., Python, DigitalMicrograph, ImageJ, or similar tools)

Candidates with experience in only one of these areas will not be considered.

The Scientist will collaborate closely with engineers, scientists, and operations teams to translate laboratory requirements into practical, scalable automation solutions and data workflows.

This role is centered on materials science applications within an analytical laboratory setting. The position requires experience aligned with materials characterization and non-biological systems, which are most relevant to the work performed. Responsibilities include a combination of hands-on laboratory execution and applied programming, rather than work that is solely research- or theory-based.

Work is conducted in a client-driven analytical services environment, requiring solutions that are practical, scalable, and reproducible.

    What You’ll Do

    • Design, build, and implement automation workflows directly on S/TEM systems (data acquisition, instrument control, and workflow scripting)
    • Develop and maintain automated pipelines for TEM data collection and analysis
    • Perform image processing (segmentation, enhancement, measurement, visualization) on 2D and 3D datasets
    • Apply computer vision, statistics, and machine learning to microscopy and analytical data
    • Work with multi-modal materials characterization data (TEM, SEM, EDS, XRD, XPS, RBS, etc.)
    • Improve throughput, repeatability, and data quality of TEM-based services
    • Build tools for data processing, feature extraction, and exploratory analysis
    • Partner with lab teams to translate real-world analytical problems into automated solutions
    • Support S/TEM operation and data collection, including EDS/EELS where needed
    • Contribute to new TEM capabilities (e.g., 4D STEM, advanced imaging workflows)

    What Success Looks Like (First 6–12 Months)

    • Implement or improve automation workflows used in production TEM work
    • Reduce manual intervention in data collection and analysis
    • Increase throughput and consistency of TEM services
    • Build usable tools and pipelines that lab teams adopt

          Work Schedule

          • Wednesday–Sunday or Saturday–Wednesday
          • Weekend shift differential applies

          Compliance Requirement (ITAR)

          This position supports work related to defense applications and is subject to ITAR regulations.

          Applicants must be U.S. Persons, defined as:

          • U.S. Citizen
          • U.S. Permanent Resident (Green Card holder)
          • Political Asylee or Refugee
            Qualifications

            Required Qualifications:

            • MS or PhD in Materials Science, Physics, Engineering, or related field
            • Hands-on S/TEM experience, including real-world data collection
            • Experience developing or implementing automation for TEM or similar instrumentation
              • (e.g., scripting acquisition, using vendor APIs, workflow automation)
            • Strong Python programming skills
              • Ability to build analysis tools, not just basic scripts
            • Experience applying data science, statistics, or computer vision to experimental data
            • Experience working with materials-focused systems (e.g., semiconductors, metals, ceramics, failure analysis)
            • Experience with EDS (not just exposure to EELS)
            • Ability to work in a fast-paced, production lab environment

            Preferred Qualifications:

            • Experience with machine learning applied to imaging or scientific datasets
            • Familiarity with deep learning frameworks (PyTorch, TensorFlow)
            • Experience with TEM automation frameworks or vendor APIs
            • Experience with large-scale or high-throughput data pipelines
            • Exposure to 4D STEM or advanced TEM techniques
            • Experience working with multi-modal data (image, spectral, time-series)

            Physical Requirements:

            • Ability to continuously operate a personal computer or lab equipment for extended periods of time (4 or more hours).
            • Ability to operate a keyboard and other lab equipment, use a telephone, access file cabinets and other items stored at various levels, including overhead.   
            • Must be able to remain in a stationary position 80% of the time. 
            • Ability to communicate clearly and understandably ensure an accurate exchange of information in normal conversational distance, over the telephone, and in a group setting.
            • Ability to handle small and fragile devices with tweezers and /or fingers.
            • Require close distance visual acuity with or without correction (Glasses, Contacts, etc.)
            • Must be willing and able to wear PPE such as hard-hat, steel-toed shoes, safety glasses, laboratory coat and/or any other devices or equipment that is required. 
            • Learn new tasks, remember processes, maintain focus, complete tasks independently, make timely decisions in the context of a workflow, ability to communicate with visitors, ability to complete tasks in situations that have a speed or productivity quota. 
            • Ability to move equipment or items up to 50 lbs. 

            The essential physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.   


            Additional Information

            Compensation is aligned with market standards for the region and tailored to individual qualifications and experience.

            Why Join Us? 

            At EAG Laboratories, we value innovation, collaboration, and professional growth. You will have the opportunity to work with a team of experts in a dynamic and supportive environment. We offer competitive compensation, comprehensive benefits, and opportunities for career advancement.

            What It’s Like to Work Here:

            • Teamwork: Be inspired by your leaders, be encouraged by your teammates and be supported in all parts of your journey while you work with us.
            • Learning & Development: Take on career development programs and goal setting to create big possibilities for your career and life. Develop within the company; be mentored and grown as a leader.
            • Diversity & Authenticity: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day.

            Benefits & Perks to Foster Work/Life Balance:

            ✓ 401k Company Matching

            ✓ Wellness Program

            ✓ Volunteer Time off

            ✓ Education Assistance

            ✓ Fitness Reimbursement

            ✓ …and more!

            Eurofins EAG Laboratories is committed to promoting an equal employment opportunity workplace environment and is an equal opportunity employer. It is the policy of the Company that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship, pregnancy, genetic information (GINA), disability, military and/or veteran status, and/or any other status protected by applicable Federal, state, or local law.  The Company’s policy is to recruit, hire, train, promote and administer all employment-related matters based on an individual's qualifications, abilities and efforts without regard to protected status. 

            Eurofins USA Material Sciences is a Disabled and Veteran Equal Employment Opportunity employer.