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Machine Learning Defense Jobs in Utah (NOW HIRING)

Spartronics LLC

Manufacturing Specialist

Logan, UT · On-site

$18 - $22/hr

Here, you'll have the opportunity to work with industry leaders in Aerospace & Defense, Medical ... Perform routine cleaning and basic preventative maintenance tasks on assigned machines. * Follow ...

B&T USA

Chief Operating Officer

Herriman, UT · On-site

Foster a culture of accountability, ethical conduct, and continuous learning. * Ensure proper ... Executive experience within firearms, defense, aerospace, or similarly regulated manufacturing ...

B&T USA, LLC

Chief Operating Officer

Herriman, UT

Foster a culture of accountability, ethical conduct, and continuous learning. * Ensure proper ... Executive experience within firearms, defense, aerospace, or similarly regulated manufacturing ...

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Machine Learning Defense information

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and software engineering. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

How much does Lockheed Martin pay AI?

As a Machine Learning Defense professional at Lockheed Martin, salaries typically range from $80,000 to over $130,000 annually, depending on experience, education, and specific role. Compensation may also include benefits such as health insurance, retirement plans, and performance bonuses, with opportunities for career advancement in defense and aerospace sectors.

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 jobs pay $2000 a day?

In the field of Machine Learning Defense, highly specialized roles such as senior machine learning engineers, AI security consultants, or cybersecurity analysts working on AI systems can command daily rates of around $2000 or more, especially with extensive experience, advanced certifications, and working on critical projects. These positions often require expertise in AI algorithms, cybersecurity, and relevant tools like Python, TensorFlow, or cybersecurity frameworks, and may involve consulting or contract work with flexible schedules.

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.

Which 3 jobs will survive AI?

In the field of Machine Learning Defense, roles such as cybersecurity analysts, AI security specialists, and data scientists are likely to persist as they require complex judgment, domain expertise, and ongoing adaptation to evolving threats. These jobs involve critical thinking, understanding of adversarial AI techniques, and specialized skills that are difficult to fully automate. Continuous learning and certifications in cybersecurity or AI are valuable for staying relevant in these roles.

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 Utah? For Machine Learning Defense jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Utah look for? The top searched job categories for Machine Learning Defense jobs in Utah are:
What cities in Utah are hiring for Machine Learning Defense jobs? Cities in Utah with the most Machine Learning Defense job openings:
Machine Learning Defense jobs near you
Infographic showing various Machine Learning Defense job openings in Utah as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Scientist, Electrical Engineer Digital Hardware Design

Scientist, Electrical Engineer Digital Hardware Design

L3Harris Technologies

Salt Lake City, UT

Full-time

Posted 28 days ago

Job description

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Scientist, Electrical Engineer (Digital Hardware Design)

Job Code: 38126

Job Location: Salt Lake City, Utah

Job Schedule: 9/80- employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off

L3Harris is seeking a motivated Senior Hardware Engineer to design and deliver advanced, mission-critical digital circuit technology for military communications systems, including software-defined radio applications.

In this role, you will serve as a senior technical contributor, helping develop innovative digital hardware solutions for special operations and intelligence customers. You will work on complex national security challenges across areas such as threat deterrence, signals intelligence, cyber operations, machine learning, image processing, and data analytics. This position is part of a multidisciplinary team that values collaboration, innovation, and technical excellence.

Essential Functions

  • Provide hands-on technical expertise for digital hardware in communications systems programs.
  • Support the development of innovative electrical engineering solutions aligned with business objectives.
  • Develop circuit designs, requirements, design documentation, verification plans, procedures, and customer deliverables to meet program schedules.
  • Lead and support cross-functional teams in system architecture, design, root cause analysis, and issue resolution.
  • Design custom circuit card assemblies using FPGAs, embedded processors, networking components, and other electronics for challenging environmental conditions.
  • Apply knowledge of industry-standard interfaces such as 10GE, 40GE, 100GE, 10/100/1000BASE-T, SPI, UART, SDRAM, DDR3, DDR4, JESD, and PCIe.
  • Perform schematic capture, simulation, analysis, PCB layout, and hardware testing.
  • Contribute to algorithm development, implementation, system architecture, verification, and testing, with emphasis on military requirements.
  • Support proposal efforts through technical baseline reviews and engineering input.
  • Collaborate regularly with program leadership and cross-functional teams including software, systems, mechanical, and test engineering.
  • Participate in customer and program technical reviews and provide status updates on assigned work.
  • Travel up to 5% as required.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or Electrical Engineering with 12 years of relevant experience; Graduate degree with 10 years of related experience. In lieu of a degree, 16 years of related experience.
  • Active DoD Secret Security Clearance.

Preferred Additional Skills

  • Strong foundation in communications theory and electronic warfare.
  • Ability to work independently or lead multidisciplinary teams in the development of communications systems and assemblies.
  • Minimum of 8 years of circuit card assembly (CCA) and hardware design experience.
  • Proficiency with Xilinx, Altera, or similar FPGA tools, and Siemens EDA (Mentor Graphics).
  • Experience with high-speed communications and I/O design, including networking and isolation requirements.
  • Hands-on experience with lab equipment such as oscilloscopes, logic analyzers, spectrum analyzers, receivers, signal generators, BERTs, TDR, and similar test equipment.
  • Knowledge of industry trends and emerging technologies, with the ability to support roadmaps that improve capability while reducing cost, size, weight, and power.
  • Minimum of 4 years of experience in hardware verification, schematic capture, and PCB layout.
  • Familiarity with version control tools such as Git or ClearCase.
  • Familiarity with product lifecycle management tools such as Teamcenter.
  • Familiarity with Confluence or similar collaboration tools.

#LI-CS3

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

Employment Type: Full-Time

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