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Machine Learning Defense Jobs in Indiana (NOW HIRING)

... and defense applications * Work collaboratively with Systems and Integration Test Engineers to ... Experience leveraging Generative AI and Machine Learning to improve productivity, collaboration ...

... machine learning, and AI models deployed in federal environments. You will lead model validation efforts supporting missioncritical use cases across defense and federal financial domains, ensuring ...

... analytics, machine learning, and AI models deployed in federal environments. You will lead model validation efforts supporting mission‑critical use cases across defense and federal financial ...

You will perform complete machine setups, make precise offsets and adjustments, interpret G and M ... Demonstrate a commitment to continuous learning and skill development in CNC machining. Essential ...

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... virtual machines and the target hardware. The Software Engineer I shares knowledge with other ... S. Department of Defense (DoD) security clearance is necessary Desired Skills Familiarity of ...

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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 Indiana? For Machine Learning Defense jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Indiana look for? The top searched job categories for Machine Learning Defense jobs in Indiana are:
What cities in Indiana are hiring for Machine Learning Defense jobs? Cities in Indiana with the most Machine Learning Defense job openings:
Senior Software Engineer - Fort Wayne, IN

Senior Software Engineer - Fort Wayne, IN

Raytheon

Fort Wayne, IN

$120K - $159K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

4th of 527 rated manufacturers


Job description

Date Posted:

2026-06-23

Country:

United States of America

Location:

US-IN-FT WAYNE-150A ~ 1010 Production Rd ~ BLDG 150A

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Active and existing security clearance required after day 1

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression.  We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat through highly engaged Engineering talent while investing in Generative AI and Machine Learning solutions to support solving the toughest challenges.  Our team solves tough, meaningful problems that create a safer, more secure world.

The mission of the software team in Fort Wayne, IN is to provide world-class software for our customers. We are looking to add software engineers to our development team for a wide array of products including Battle Management, Command & Control, Communications, Effectors, Advanced Sensor Systems, and Surveillance and Warning systems.

We value your diverse skills and experience, so don’t hold back. Your qualifications add tremendous value to our team. Our customers come from all different backgrounds, and so do our employees. If you’re passionate about what you could accomplish here, we’d love to hear from you.

What You Will Do:

  • Participate in collaborative, cross-discipline integrated product teams, employ agile software development techniques and resources to develop, test, and integrate complex software and systems solutions for aerospace and defense applications

  • Responsible for some or all of a Software product, contributing as a software team member and possibly leading a small software team.

  • Work collaboratively with Systems and Integration Test Engineers to analyze, implement and test system

Qualifications You Must Have:

  • Bachelor’s Degree in Science, Technology, Engineering or Mathematics (STEM)

  • Minimum of five (5) or more years of relevant professional experience in software development, integration, and/or test using C++, Java, Ada or similar software object-oriented language

  • Ability to obtain and maintain a U.S. government-issued Secret security clearance required, note only U.S. Citizen can obtain security clearance.

Qualifications We Prefer:

  • Strong problem-solving, teamwork and communication skills

  • Proven self-motivated problem solver who can look at a situation, identify gaps or issues, and take initiative to resolve them (technically, with process, and with documentation)

  • Desire and ability to learn new technologies and tools

  • Experience developing software using Agile techniques such as Scrum, Scrum @ Scale, SAFe, Test-Driven Development

  • Experience leveraging Generative AI and Machine Learning to improve productivity, collaboration, and performance

  • Ability to work in a fast-paced, dynamic environment with time-critical requirements

  • Experience contributing to a team environment for the purpose of developing creative solutions to difficult technical problems

  • Experience working with Continuous Integration/Development & Integrated development tools such as Azure, Git, Atlassian Suite, Eclipse, and Ansible

  • Experience with Red Hat, Linux, VxWorks, INTEGRITY, or other RTOS

  • Exposure to Open Systems Architectures and modular design principles

What We Offer:

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX, we value Safety, Trust, Respect, Accountability, Collaboration and Innovation

  • Relocation eligible

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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