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Machine Learning Secret Clearance Jobs in California

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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 are popular job titles related to Machine Learning Secret Clearance jobs in California?

For Machine Learning Secret Clearance jobs in California, the most frequently searched job titles are:

What job categories do people searching Machine Learning Secret Clearance jobs in California look for?

The top searched job categories for Machine Learning Secret Clearance jobs in California are:

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

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

Machine Learning Secret Clearance jobs near you
Infographic showing various Machine Learning Secret Clearance job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Software Engineer Expeditionary Systems (OpAI) - Secret C with Security Clearance

PMAT Inc.

San Diego, CA • On-site

Other

Posted 8 days ago

Job description

Senior Software Engineer Expeditionary Systems (OpAI) - Secret Clearance Required NOA ESS - San Diego, California This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. At PMAT, we work on mission critical systems that directly support the warfighter, designing, building, and securing modern digital capabilities across cloud, data, and software environments. Our teams tackle complex, real-world challenges where delivery matters more than theory, and innovation is driven by curiosity, collaboration, and purpose. In this role, you’ll contribute to Naval Operational Architecture (NOA), working alongside engineers and operators to deliver resilient, forward-leaning solutions in support of national defense. About the role: PMAT is seeking a highly experienced and motivated Senior Software Engineer to contribute to the integration of AI capabilities into expeditionary systems, including sensor kits, UxS, C2, and TAK. The successful candidate will play a key role in enhancing the capabilities of expeditionary systems through innovative and cutting-edge technologies.  Daily tasks can vary from hands on keyboard to technical discussions, including but not limited to, maintaining real-time Zenoh data mesh in Rust, creating frontend React applications in JavaScript, working with AI engineers to integrate machine learning models, converting data between standard tactical message formats, or providing subject matter expertise in discussions with senior management. Responsibilities: * Collaborate with cross-functional teams to understand and address the Navy's operational challenges integrating artificial intelligence into expeditionary systems.  * Design, develop, and implement software for tactical applications  * Test software at field experiments to ensure performant and high-quality data flow between tactical systems, including sensors, UxS, and C2  * Collaborate with machine learning engineers and domain experts to analyze data and integrate machine learning solutions into existing systems.  * Collaborate with data engineers to monitor data pipelines and analytics to ensure accuracy, reliability, and robustness.  * Stay updated with the latest advancements in data architecture to propose and implement innovative solutions.  * Work closely with systems engineers to connect data pipelines with operational systems  * Provide technical expertise and contribute to the development of long-term technology strategies within the Department of the Navy.  About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room.  Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper.  We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether you’re an experienced engineer or just beginning your career, you’ll work alongside experts who are committed to solving mission-critical problems. If you’re passionate about using your skills to make a real difference, apply today and become part of a team that’s shaping the future of defense technology! Required Skills and Experience: * At least 10 years experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, IT specialist, machine learning engineer, software engineer, or system administrator.  * Familiarity with containerization technologies (e.g., Docker, Kubernetes).  * Expert programming skills in Python  * Intermediate programming skills in Rust or Go  * Experience designing or normalizing tactical data to common standards  * Experience with multiple data formats, e.g., CSV, JSON, XML, Parquet, ORC.  * Familiarity with event streaming libraries and platforms, e.g., Apache Kafka, AWS Kinesis, RabbitMQ, ZeroMQ, or Zenoh. * Experience with troubleshooting tactical systems  * Experience deploying, monitoring, and improving tactical data pipelines  * Strong problem-solving and analytical skills.  * Passion for staying updated with the latest advancements in tactical data architecture.  * Excellent communication skills and the ability to work effectively in a collaborative team environment.  Preferred Skills and Experience: * Experience integrating systems with Tactical Assault Kit (TAK) ecosystem.  * Familiarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake.  * Experience with adding and retrieving data from Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS.  * Expertise in Elasticsearch, Redis, S3, PostgreSQL, or other data stores.  * Understanding of cybersecurity principles in the context of tactical applications.  * Previous experience working with government agencies or military organizations.  * Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics  Education and Certification Requirements: * Bachelor’s Degree or Equivalent Experience Citizenship and Clearance requirements: * U.S. Citizenship required * No dual citizenship * Active DOD Secret security clearance is required * TS/SCI Eligible security clearance preferred Location/Address: * 100% On-site * San Diego, CA, NAVWAR * Arlington, VA * Colorado Springs, CO * Charleston, SC * Denver, CO * Note: If San Diego is not your primary duty station, then you will be required to travel to San Diego for at least 5 weeks a year for team meetings and administrative tasks. Travel & Passport: * 10%, CONUS and OCONUS Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and potentially for business development. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #CJ Apply for This Job Link to This Job Location San Diego, California Department NOA ESS Employment Type Full-Time Minimum Experience Experienced Compensation $155,000.00 - $175,000.00 Privacy Policy • Terms of Service  •  © BambooHR All rights reserved.

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