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Machine Learning Defense Jobs in Rochester, NY (NOW HIRING)

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... Defense Language Institute, Monterey, California Approximately 48 - 64 weeks Sailors receive ...

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... Defense Language Institute, Monterey, California Approximately 48 - 64 weeks Sailors receive ...

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... Defense Language Institute, Monterey, California Approximately 48 - 64 weeks Sailors receive ...

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... Defense Language Institute, Monterey, California Approximately 48 - 64 weeks Sailors receive ...

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Machine Learning Defense information

See Rochester, NY salary details

$25.2K

$42K

$86.8K

How much do machine learning defense jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning defense in Rochester, NY is $42,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 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 Rochester, NY?

For Machine Learning Defense jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Rochester, NY look for?

The top searched job categories for Machine Learning Defense jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Machine Learning Defense jobs?

Cities near Rochester, NY with the most Machine Learning Defense job openings:

Infographic showing various Machine Learning Defense job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,016 per year, or $20.2 per hour.

Sr. Associate, Artificial Intelligence

L3Harris Technologies

Rochester, NY • On-site, Remote

$84K - $156K/yr

Full-time

Medical, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


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: Sr. Associate, Artificial Intelligence

Job Location: Rochester, NY, Herndon, VA, Melbourne, FL or Remote

Job ID: 43404

Job Description:

The SMS Artificial Intelligence (AI) team is seeking an individual with strong working knowledge in application development, machine learning, and artificial intelligence to support the research and development of AI solutions that contribute to internal and external product offerings.

Essential Functions:

  • Work with domain experts to identify which problems can and should be solved with machine learning
  • Clearly translate domain-specific problems into solutions using data-driven models
  • Actively contribute to the improvement of MLOps and data pipelines with the current team
  • Work with multi-domain datasets and phenomenologies to develop effective data plans
  • Perform data curation and exploratory data analysis
  • Ensure proper regression testing, validation, and documentation of ML models
  • Identify relevant pre-trained models and integrate into solution pipelines
  • Identify state-of-the-art (SotA) foundation models and standardize use in larger AI solutions
  • Implement, maintain, and optimize containerization for seamless deployment, scaling of AI / ML workloads, and sharing with other teams for easy reproduction

Qualifications:

To be eligible, applicants must be pursuing a Master's Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics or have completed their Master's degree within the last 12 months, regardless of age.

Preferred Additional Skills:

  • Proficiency with Differentiable Programming libraries (e.g., PyTorch, TensorFlow)
  • Proficiency with Database Manipulation libraries (e.g., SQL, NoSQL, Pandas, PySpark)
  • Proficiency with Python and building Virtual Environments (e.g., Conda, UV, Docker)
  • Demonstrable experience developing models using classical and SotA Machine Learning
  • Experience maintaining training and inference infrastructure for ML models

PAY TRANSPARENCY:In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $84,500 - $156,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $73,000 - $136,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, educationassistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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