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Machine Learning Secret Clearance Jobs in New York

The role requires a deep understanding of machine learning techniques and optimization algorithms ... Willingness and eligibility to obtain a Secret clearance Preferred Qualifications * History of peer ...

The role requires a deep understanding of machine learning techniques and optimization algorithms ... Willingness and eligibility to obtain a Secret clearance Preferred Qualifications * History of peer ...

The role requires a deep understanding of machine learning techniques and optimization algorithms ... Willingness and eligibility to obtain a Secret clearance Preferred Qualifications * History of peer ...

Engineering Time Type: Full time Minimum Clearance Required to Start: Top Secret Employee Type ... machine learning, mathematical optimization, understanding of video encoding • Experience working ...

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Machine Learning Secret Clearance information

What is a machine learning secret clearance?

A Machine Learning Secret Clearance job involves developing and implementing machine learning models and algorithms within organizations that require employees to hold a U.S. government Secret security clearance. These roles typically support classified projects for government agencies or defense contractors, ensuring that sensitive data and methods are handled securely. Professionals in these positions combine expertise in artificial intelligence with knowledge of security protocols, working on tasks like data analysis, predictive modeling, and automation within a secure environment. The Secret clearance requirement demonstrates an individual's trustworthiness and eligibility to access classified information, which is essential for national security work.

What are the key skills and qualifications needed to thrive as a machine learning secret clearance?

To thrive as a Machine Learning Engineer with Secret Clearance, you need a solid background in computer science, mathematics, and machine learning theory, typically supported by a relevant degree and eligibility for security clearance. Familiarity with frameworks like TensorFlow or PyTorch, programming languages such as Python, and secure data handling protocols is essential, and certifications like CompTIA Security+ can be valuable. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with interdisciplinary teams in sensitive environments. These skills ensure the development of robust, secure, and innovative AI solutions that meet strict government or defense requirements.

What unique challenges might I face working as a machine learning secret clearance, and how does this affect daily responsibilities?

Working as a Machine Learning Engineer with Secret Clearance often involves handling sensitive or classified data, which introduces unique challenges such as adhering to strict security protocols and limited access to certain resources or external tools. Your daily responsibilities may include developing models in secure environments, collaborating closely with cross-functional teams cleared at similar levels, and ensuring all work complies with government regulations. While the work can be highly impactful and intellectually stimulating, it requires strong attention to detail, adaptability, and an understanding of data security practices.

What is the difference between Machine Learning Secret Clearance vs Data Scientist with Secret Clearance?

AspectMachine Learning Secret ClearanceData Scientist with Secret Clearance
Required CredentialsSecurity clearance, specialized machine learning knowledge, programming skillsSecurity clearance, statistical, programming, and data analysis skills
Work EnvironmentGovernment agencies, defense contractors, classified projectsGovernment agencies, private sector, research institutions
Employer & Industry UsagePrimarily defense, intelligence, aerospaceWide range including government, tech, finance
Common Search & ComparisonYesYes

Both roles require security clearance and technical expertise, but Machine Learning Secret Clearance focuses more on developing AI models for classified projects, while Data Scientist with Secret Clearance emphasizes data analysis and insights across various sectors. The roles often overlap in government and defense sectors, but differ in specific skill sets and project focus.

What cities in New York are hiring for Machine Learning Secret Clearance jobs?

Cities in New York with the most Machine Learning Secret Clearance job openings:

Infographic showing various Machine Learning Secret Clearance job openings in New York as of August 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 100% In-person job distribution.

Senior AI/ML Research Engineer with Security Clearance

CACI

Florham Park, NJ • On-site

$109K - $150K/yr

Other

Medical, Retirement, PTO

Re-posted 5 days ago


Job description

Job Title: Senior AI/ML Research Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: Top Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * CACI has an exciting new opportunity in Florham Park, NJ for a Senior AI/ML Research Engineer. Apply machine learning, statistics, and best-of-breed AI capabilities to develop algorithms to solve challenging problems in networking, edge computing, cybersecurity, and autonomy. Research and develop innovative capabilities that incorporate machine learning and other advanced concepts in areas such as federated learning, network analysis, resource allocation & planning, and robust communications in challenging networking environments. Develop machine learning and statistics-enabled software capabilities and applications to be integrated into larger hardware and software systems. Provide subsystems or component level technical leadership and develop written materials and presentations for customers. Assist in developing new business concepts and successfully develop winning proposals to secure additional funding and work. Responsibilities: * Develop and justify the performance of algorithms in networking and edge computing-related domains.
* Perform extensive detailed modeling and simulation, including quantifying the relative impact of candidate solution architectures.
* Oversee the development of standalone applications and/or major software subsystems and components while adhering to software best practices.
* Assist with the development detailed technical plans with tasks, schedule, and labor estimates.
* Develop automated tests to rigorously test and evaluate algorithms and software capabilities.
* Act as a core contributor during proposal development and project execution. Qualifications: Required: * Bachelor's degree in computer science, computer engineering, or machine learning and at least 7 years' experience.
* Experience developing algorithms, protocols, and software applications in networking, edge computing, and/or autonomy.
* Strong background in machine learning and statistics.
* Significant experience with Python and C++.
* Comfortable using Linux operating systems and commonly used Linux utilities.
* Some advanced knowledge of computer networking, including TCP/IP networking/OSI model, routing algorithms, Linux networking utilities and interfaces.
* Ability to anticipate strengths and weaknesses of software solutions and perform simulation, testing, and evaluation to quantitatively compare alternative approaches.
* Ability to effectively articulate research and development outcomes to senior staff and customers and act as a technical representative of the team.
* Excellent oral and written communications skills.
* Demonstrated effectiveness in leading, organizing, and executing technical efforts.
* Active TOP SECRET clearance with the ability to obtain/maintain a higher clearance if necessary Desired: * Master's degree or Ph.D. in computer science, computer engineering, or machine learning.
* Experience applying machine learning to signal processing and/or other time-series data analysis applications.
* Experience with probabilistic generative modeling and Bayesian inference.
* Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests.
* Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance.
* Top Secret with SCI preferred. - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $113,200 - $237,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.