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Machine Learning Engineer Ts Sci Jobs in California

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Machine Learning Engineer Ts Sci information

What is a machine learning engineer TS SCI?

Machine Learning Engineer TS/SCI positions are specialized roles where engineers design, develop, and implement machine learning models and systems, often for government or defense projects that require a Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance. These professionals work on advanced AI algorithms, data processing, and secure software, ensuring that sensitive information is protected throughout the process. They collaborate with data scientists, software developers, and security experts to solve complex problems using data-driven approaches while adhering to strict security protocols.

What are the key skills and qualifications needed to thrive as a machine learning engineer TS SCI?

To thrive as a Machine Learning Engineer with TS/SCI clearance, you need strong skills in machine learning algorithms, programming (Python, R), data analysis, and a relevant degree in computer science or a related field, along with active TS/SCI security clearance. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure), and knowledge of secure data handling are commonly required. Excellent problem-solving, teamwork, and clear communication are vital soft skills for collaborating on complex, sensitive projects. These skills ensure effective development of secure, high-impact AI solutions in environments where data protection and analytical precision are critical.

What are some common challenges faced by machine learning engineers with TS SCI in day-to-day work?

Machine Learning Engineers with TS/SCI clearance often encounter unique challenges, such as working with highly sensitive data in secure environments, which can limit access to certain tools or cloud resources. Collaboration is often restricted to cleared team members, and sharing findings externally is not permitted. Additionally, projects may have ambiguous requirements due to their classified nature, requiring strong problem-solving skills and adaptability. However, these roles offer the chance to work on impactful projects with significant national security implications, providing both technical and professional growth.

What is the difference between Machine Learning Engineer Ts Sci vs Data Scientist?

AspectMachine Learning Engineer Ts SciData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; certifications in ML or AIBachelor's or Master's in Statistics, Data Science, or related fields; certifications in data analysis or visualization
Work EnvironmentDevelops and deploys ML models, often in production environmentsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI firms, R&D departmentsFinance, healthcare, marketing, and tech sectors

While both roles require strong analytical skills and knowledge of machine learning, Machine Learning Engineer Ts Sci focuses on developing and deploying scalable ML models, whereas Data Scientists primarily analyze data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

What are popular job titles related to Machine Learning Engineer Ts Sci jobs in California?

For Machine Learning Engineer Ts Sci jobs in California, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Ts Sci jobs in California look for?

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What cities in California are hiring for Machine Learning Engineer Ts Sci jobs?

Cities in California with the most Machine Learning Engineer Ts Sci job openings:

Machine Learning Engineer Ts Sci jobs near you
Infographic showing various Machine Learning Engineer Ts Sci job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer - TS/SCI Clearance (El Segundo)

Yewser

El Segundo, CA • On-site

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.

Job description

About Us

We are a seasoned defense technology company recognized for our innovation in applying machine learning and deep learning solutions to critical national security initiatives.

Our reputation for technical excellence and reliability has positioned us as a top choice for securing some of the most complex and impactful government contracts. With our continued growth, we're expanding our team and seeking multiple ML/AI specialists who hold an active Top Secret or TS/SCI clearance.

Why You’ll Want to Join
  • Competitive compensation packages well above industry norms
  • Comprehensive benefits, including a standout 15% 401(k) match
  • Engage in highly strategic, mission-critical work at the frontier of AI and defense innovation
Position Overview

We're currently hiring a Machine Learning Engineer to support next-generation defense programs requiring active Top Secret or SCI clearance. This is an opportunity to contribute to deeply technical projects involving computer vision, sensor data processing, and advanced ML frameworks, all in support of national security missions.

What You’ll Do
  • Design and deploy high-performance ML models focused on image and signal processing, including RADAR and Synthetic Aperture Radar (SAR) data streams
  • Collaborate with data scientists and software engineers to solve highly complex modeling challenges
  • Utilize techniques in data mining, feature extraction, and deep learning to create scalable analytics platforms
  • Stay on the pulse of evolving technologies in AI/ML and related software and hardware ecosystems
  • Operate within classified environments while strictly adhering to data protection protocols tied to security clearance requirements
  • Partner with interdisciplinary teams to translate mission needs into actionable ML solutions
  • Communicate your findings clearly—bridging the gap between technical insights and strategic decision-making
  • Continually enhance model performance and data handling systems to meet dynamic defense use cases
What You Bring
  • A bachelor’s degree in Computer Science, Electrical Engineering, or a similar technical discipline (Master’s or PhD preferred)
  • 5+ years of experience in applied ML, with an emphasis on sensor data, signal/image analysis, and AI model development
  • Strong coding proficiency in Python, C++, and C
  • Hands-on experience with ML libraries such as TensorFlow, Keras, or similar frameworks
  • Solid grasp of ML theory and application, especially in high-performance or embedded environments
  • Active Top Secret or SCI clearance is required
  • Strong analytical and problem-solving abilities, with clear communication skills
  • Comfortable working both independently and as part of a mission-driven, collaborative team
  • U.S. citizenship is required due to the classified nature of the projects
Make an Impact

This is more than a job—it’s an opportunity to apply your expertise in service of something greater. If you're passionate about applying cutting‑edge AI to national security challenges and thrive in high‑trust, high‑stakes environments, we'd love to hear from you.

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