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Machine Learning Secret Clearance Jobs in California

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Machine Learning Secret Clearance information

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

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

Infographic showing various Machine Learning Secret Clearance job openings in California as of August 2026, with employment types broken down into 68% Full Time, 21% Part Time, and 11% Contract. Highlights an 100% In-person job distribution.

Sr. AI Engineer, Special Programs - Top Secret Clearance with Security Clearance

Space Exploration Technologies Corp.

Palo Alto, CA • On-site

$220K - $350K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies


Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. AI ENGINEER, SPECIAL PROGRAMS - TOP SECRET CLEARANCE Sr. AI engineers work directly with our end customers to own strategy, execution, and deployment of mission-critical AI solutions for U.S federal agencies. You'll work closely with product, research, infrastructure, and legal/governance teams to deliver high-stakes projects to make current AI and future models maximally useful for missions while upholding safety, transparency, and ethical standards.
RESPONSIBILITIES: Design, build, and optimize integrations between AI frontier models (e.g., Grok family) and government systems, platforms, and data environments. Identify pain points, scoping product specifications, and designing and building AI-powered software for government or enterprise use cases. Benchmark models and develop evaluation frameworks to assess performance and address weaknesses, ensuring compliance with customer standards. Enhancing model performance through system prompt tuning or fine-tuning, with an eye toward secure and scalable deployment. Analyze request logs, prompt data, or system outputs to ensure reliability and audibility. Build internal tooling to streamline workflows and automate repetitive tasks in secure environments. Partner with agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback. Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact. BASIC QUALIFICATIONS: Bachelor's degree in computer science, mathematics, computer engineering, physics, or data science. 5+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications. Active Top-Secret or Top-Secret SCI. PREFERRED SKILLS AND EXPERIENCE: Demonstrated success working with government agencies, DoD, or federal contractors on AI, software, or data projects. 6+ years of software engineering experience, ideally in environments requiring high reliability or security. Expertise in designing, implementing, and maintaining robust, scalable, and secure AI-driven solutions that meet stringent compliance and operational standards. Proven experience implementing AI or machine learning products with APIs, back-end systems, and front-end interfaces. Proficiency in Python and/or TypeScript. Strong understanding of the HTTP protocol and secure API design. Robust engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science. Experience building evaluation frameworks for AI systems and assessing capabilities in regulated or high-stakes contexts. Deep understanding of machine learning fundamentals—model evaluation, training, and fine-tuning—with a focus on production-ready deployments. History of deploying machine learning models to production, ideally in secure or cloud-based government environments. Expertise in writing developer documentation or maintaining SDKs for technical audiences, including government developers. Ability to work with massive datasets, optimize system performance, and scale solutions for high-throughput, mission-critical workloads. Familiarity with infrastructure-as-code tools like Pulumi or Terraform, particularly in secure or government-aligned deployments. Adaptability to shifting priorities and requirements in a fast-paced, mission-driven startup setting. Excellent verbal and written communication skills in English, with experience documenting technical solutions for diverse stakeholders. ADDITIONAL REQUIREMENTS: Must be willing to work extended hours and weekends as needed. 20% travel may be required to government sites. COMPENSATION AND BENEFITS: Pay range: Sr. AI Engineer: $220,000.00 - $350,000.00/per year Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to .

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Pay

Benefits

Hours and flexibility

Workplace

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US