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Machine Learning Secret Clearance Jobs in Seattle, WA

ManTech International

Mechanical Engineer

Silverdale, WA · On-site

$65K - $107K/yr

... Security Clearance Required Secret Remote Type Onsite Time Type Full time Description ... Academic or professional experience with machine learning principles and their application to ...

U.S. Navy

Linguist

Bothell, WA

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... a Top Secret clearance and have normal hearing. CTIs must also be willing to serve aboard ...

U.S. Navy

Linguist

Clyde Hill, WA

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... a Top Secret clearance and have normal hearing. CTIs must also be willing to serve aboard ...

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All JobsMachine Learning Secret Clearance JobsMachine Learning Secret Clearance Jobs in Seattle, WA

Machine Learning Secret Clearance information

See Seattle, WA salary details

$15

$29

$55

How much do machine learning secret clearance jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for machine learning secret clearance in Seattle, WA is $29.98, according to ZipRecruiter salary data. Most workers in this role earn between $24.33 and $31.73 per hour, depending on experience, location, and employer.

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 Seattle, WA?

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

What job categories do people searching Machine Learning Secret Clearance jobs in Seattle, WA look for?

The top searched job categories for Machine Learning Secret Clearance jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Machine Learning Secret Clearance jobs?

Cities near Seattle, WA 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 Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $62,368 per year, or $30 per hour.

Forward Deployed Full Stack Engineer with Security Clearance

BOAB Ventures

Keyport, WA • On-site

Other

Re-posted 9 days ago

Job description

Job Description We are seeking a Forward Deployed Full-Stack Engineer to join a high-impact team building mission-critical applications deployed to U.S. submarines and maritime systems. This role is for a versatile engineer who obsesses over front-end polish, query performance, and the seamless integration of real-time streaming data into operator-facing interfaces. Primary Responsibilities • Build out application components and pages using TypeScript, React, and modern front-end frameworks (Next.js, TailwindCSS). • Implement high-performance rendering workflows for historical and real-time data feeds utilizing WebGPU. • Design and develop scalable data models using Postgres, Apache Iceberg, and related database technologies. • Modify and maintain real-time data pipelines (MQTT, Redpanda) and offline batch processing pipelines (Dagster). • Integrate machine learning models and advanced algorithms directly into user-facing web applications. • Optimize the development lifecycle by improving local environments and CI/CD workflows using modern tooling and GitHub Actions. • Maintain rigorous code quality with a fanatical focus on linting, formatting, static typing, and high test coverage. Required Skills Required Experience • Active Secret Security Clearance. • 4+ years of Full-Stack Software Engineering experience with a strong balance of front-end polish and back-end logic. • Mastery of TypeScript, React, Next.js, and advanced state management (React Context, GraphQL, REST APIs). • Solid experience with Node.js, SQL/PostgreSQL, and Python workflows. • Functional knowledge of containerization tools like Docker and Kubernetes. Desired Skills Preferred Experience • Experience with IoT devices, sensors, or digital signal processing (DSP). • Background in geospatial analysis (GIS) or working within complex monorepos.

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