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Machine Learning Secret Clearance Jobs in Texas (NOW HIRING)

Striveworks

Data Scientist (Active Secret Clearance)

Austin, TX · On-site

$140K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Working as part of a team of data scientists, machine learning engineers, software engineers, and ... Active Secret (or above) US security clearance and US citizenship The following isn't required, but ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Analytica

Data Scientist

San Antonio, TX · On-site

$110 - $150/hr

  • Medical

  • Retirement

... analytics, machine learning, and AI solutions that address complex business and operational ... S. Citizen with a SECRET clearance or the ability to obtain and maintain one. This role may be ...

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All JobsMachine Learning Secret Clearance JobsMachine Learning Secret Clearance Jobs in Texas

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

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

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

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

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

Cities in Texas 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 Texas as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist (Active Secret Clearance)

Striveworks

Austin, TX • On-site

$140K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago

Job description

"In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it." - Dr. Jim Rebesco, Cofounder and CEO, Striveworks
The government's demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with it.
Striveworks was built to solve that problem.
What you'll build
Since 2018, we have delivered the most trusted AI systems operating in real-world use cases-providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab.
As a Data Scientist, you will be a core contributor to the projects, products, and direction of the company. Working as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers, you'll develop and validate machine learning models and custom analytic algorithms applied to image, video, text, geospatial, time series, structured, and other data. You will design AI-based solutions, based on both agentic and traditional approaches, for cloud and edge environments. You will sense what customers need, identify evolving demands, and translate that feedback into actionable input for our product teams. The work extends to the field, with mission-critical deployments and direct customer contact.
What it's like here
We lead with trust, treat each other with respect, and use candor consistently, kindly, and constructively. We care deeply about our work, and we find genuine satisfaction in doing it well. Above all, we take ownership-because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice.
What we're looking for
  • A BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience
  • Proficiency in machine learning and data science, with demonstrated application to image data, video data, or agentic systems
  • Proficiency in implementing and analyzing data structures and algorithms
  • Excellence in Python and knowledge of TensorFlow, PyTorch, and/or scikit-learn
  • Exposure to software development life cycle and tools
  • Active Secret (or above) US security clearance and US citizenship

The following isn't required, but we'd love to see it:
  • An advanced degree in computer science, machine learning, mathematics, or a related discipline
  • Experience deploying machine learning and data science solutions to production environments
  • Exposure to DevOps and to cloud infrastructure
  • Experience processing a variety of unstructured data types (e.g., image/video, text, telemetry, graphs, or other)
  • Experience implementing ETL pipelines, data pipelines, and/or workflow automation
  • Experience developing software in a systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)

You will be hybrid or on site at our Austin, Texas, office. This role requires travel up to 30% of the time.
Compensation
The anticipated base pay range for this position is $140,000-$165,000/year. Striveworks' total compensation package includes a competitive base salary, equity grants, and cash bonuses.
Benefits include:
  • Medical/dental/vision insurance
  • Voluntary life, long-term disability, accident, and hospital indemnity insurance
  • HSA and FSA (including dependent care FSA) plans
  • 401(k) plan
  • Unlimited PTO
  • Paid parental leave

Ready to build systems that work for a mission that matters? Let's talk.
Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact People Operations at hr@striveworks.us.
In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.
Striveworks is a participating employer in the E-Verify program.

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