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Machine Learning Secret Clearance Jobs in New York

Company Description Jobiak's mission is to fuse machine learning technology with practical ... Active Security Clearance Required Additional Information All your information will be kept ...

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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.

RF Systems Engineer with Security Clearance

Encode

Clifton, NJ • On-site

Contractor

Re-posted 11 days ago


Job description

Job Description:
RF System Engineer- Level 1, Level 2, Level 3, Level 4, Level 5. Key Responsibilities
• Support and lead the design, development, integration, and testing of electronic systems and associated hardware, software, firmware, subsystems, and components.
• Generate system-level requirements and flow requirements down to subsystems and lower-level assemblies.
• Utilize requirements management tools such as IBM Rational DOORS and/or JAMA Perform data analysis, modeling, and simulation activities to identify root causes and guide system design decisions.
• Collaborate across multidisciplinary engineering teams and communicate effectively with internal and external stakeholders.
• Present technical findings, analyses, and recommendations to engineering teams and customers.
• Support process improvement initiatives within the Systems Engineering organization.
• Work independently with minimal supervision while maintaining a focus on continuous learning and professional growth.
• Support integration, qualification, and verification efforts for electronic systems.
• Participate in occasional travel as required by program assignments (approximately 10%).
Required Qualifications
• Bachelor’s Degree with a minimum of 4 years of relevant experience; OR
• Master’s Degree with a minimum of 2 years of related experience; OR
• Minimum of 8 years of related experience in lieu of a degree.
• Hands-on experience with RF and electrical test equipment, including:
o Signal Generators
o Spectrum Analyzers
o Oscilloscopes
o Network Analyzers
o Attenuators
o Amplifiers
• Experience generating and managing requirements at multiple system levels and flowing requirements to subsystems and components.
• Experience with requirements management tools such as IBM Rational DOORS and/or JAMA.
• Active Secret Clearance or Interim Secret Clearance required to start.
• Strong written and verbal communication skills.
• Ability to work independently with minimal supervision. Preferred Qualifications
• Experience generating, interpreting, evaluating, and decomposing customer requirements into lower- level requirements.
• Experience with data analysis, modeling, and simulation using MATLAB and/or Python.
• Experience supporting Hardware Environmental and EMI Qualification testing efforts.
• Knowledge of signal processing, logic design, and computer architecture concepts.
• Experience supporting aerospace and defense electronic systems, including:
o Electronic Warfare Systems
o Radar Systems
o Missile Guidance Systems
o Missile Defense Systems
• Experience with embedded system architecture design.
• Familiarity with:
o Digital Engineering
o SysML
o Model-Based Systems Engineering (MBSE)
o System Simulation
• Understanding of cybersecurity best practices.
• Strong organizational skills and attention to detail.
Ideal Candidate
The ideal candidate will have a strong systems engineering background with expertise in RF technologies, requirements management, system integration and testing, and defense-related electronic systems. Candidates should be comfortable working in a highly collaborative engineering environment while contributing to the development of advanced mission-critical solutions.