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Machine Learning Defense Jobs in Berlin, CT (NOW HIRING)

With applications in defense, aerospace, robotics, and portable power, we're developing the next ... Select and coordinate with suppliers and machine shops--from RFQ to incoming inspection. * Support ...

With applications in defense, aerospace, robotics, and portable power, we're developing the next ... Select and coordinate with suppliers and machine shops-from RFQ to incoming inspection. * Support ...

Enjet Aero machines and fabricates complex jet engine parts, components and assemblies for leading ... the commercial, defense and general aviation sectors. Our goal is to be regarded as an ...

Engine Build Technician

Suffield, CT ยท On-site

$18.25 - $24.75/hr

Our engines support a wide range of applications across aerospace, defense, energy, and mobility ... Proven mechanical aptitude from automotive, aerospace, machining, or similar hands-on technical ...

Quality Engineer Admin

Bloomfield, CT ยท On-site

$27.03 - $40.54/hr

... about learning our quality and machining processes and contributing to a high-performing team ... for aerospace, defense, and industrial applications. We design self-lubricating bearings and ...

Engine Build Technician

Suffield, CT ยท On-site

$18.25 - $24.75/hr

Our engines support a wide range of applications across aerospace, defense, energy, and mobility ... Proven mechanical aptitude from automotive, aerospace, machining, or similar hands-on technical ...

Showing results 41-60

Machine Learning Defense information

See Berlin, CT salary details

$25.3K

$42.2K

$87.2K

How much do machine learning defense jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning defense in Berlin, CT is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 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 Berlin, CT?

For Machine Learning Defense jobs in Berlin, CT, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Berlin, CT look for?

The top searched job categories for Machine Learning Defense jobs in Berlin, CT are:

What cities near Berlin, CT are hiring for Machine Learning Defense jobs?

Cities near Berlin, CT with the most Machine Learning Defense job openings:

Infographic showing various Machine Learning Defense job openings in Berlin, CT as of June 2026, with employment types broken down into 5% As Needed, 75% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

Senior Principal Engineer - Solid & Structural Mechanics (Hybrid)

Prattwhitney

East Hartford, CT โ€ข On-site

$132 - $252/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Date Posted: 2026-08-13 Country: United States of America Location: US-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC K Position Role Type: Hybrid U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access certain necessary systems. Security Clearance Type: None/Not Required Security Clearance Status: Not Required

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the worldโ€™s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.

What You Will Do

The Solid and Structural Mechanics team at RTX Technologies Research Center (RTRC) is seeking qualified candidates to join the team as a Senior Principal Engineer. The candidate is expected to provide technical contributions in the core area of mechanics of materials and structures as well as in the use and deployment of emerging Artificial Intelligence (AI) and Machine Learning (ML) tools to solve complex problems in those areas. Background and expertise in one or more core areas of mechanics such as constitutive modeling, damage mechanics, fracture mechanics, structural analysis, structural dynamics and vibrations, multi-scale modeling, finite element methods applied to metallic and/or composite materials are desired. The candidate will have exceptional communication skills, capable of interacting with RTRC senior management as well as members of the technical staff. The candidate must be able to provide timely, accurate, and detailed reports and presentations. Experience in developing innovative ideas, marketing them to internal and external funding agencies, and proposal writing is highly desirable.

Qualifications You Must Have
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited by local laws/regulations, or An Advanced Degree in a related field and minimum 7 years experience MS or Ph.D. in Mechanical Engineering / Aerospace Engineering / Engineering Mechanics / Materials Science & Engineering
  • Proficiency in the following is required: (1) Development and deployment of AI/ML tools for solving mechanics/materials/structures problems (2) Linear and nonlinear Finite Element Analysis (FEA) using ANSYS or ABAQUS including writing user material subroutines
  • Proficiency in the following is desirable: Multi-scale and multi-physics modeling approaches leveraging AI/ML techniques is highly desired.
  • Excellent oral and written communication skills; proficient with Microsoft tools: Word, Excel and PowerPoint; high energy; team player

Please ensure the role type defined below is appropriate for your needs before applying to this role.

This position is classified as: Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader. If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role. 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 132,400 USD - 251,600 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 candidateโ€™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 companyโ€™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 Veteransโ€™ Readjustment Assistance Act.

Privacy Policy and Terms: Click on this link to read the Policy and Terms

RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses โ€“ Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.

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