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Machine Learning Secret Clearance Jobs in Boston, MA

STR

Lead Software Engineer (CLEARANCE REQUIRED)

Woburn, MA · On-site

$174K - $220K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by ...

STR

Lead Research Scientist - Machine Learning

Boston, MA · On-site

$174K - $220K/yr

Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ... Active US government security clearance * Experience applying deep learning to domains other than ...

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ... Active US government security clearance * Experience applying deep learning to domains other than ...

ECS

Software Engineer with Security Clearance

Boston, MA · On-site

$140K - $175K/yr

... Machine Learning and Big Data/Cloud Solutions, with a focus supporting Naval Acoustics AI/ML. This ... Secret Clearance with the ability to obtain TS/SCI * Proficiencies in modern programming languages ...

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All JobsMachine Learning Secret Clearance JobsMachine Learning Secret Clearance Jobs in Boston, MA

Machine Learning Secret Clearance information

See Boston, MA salary details

$15

$28

$52

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

As of Aug 20, 2026, the average hourly pay for machine learning secret clearance in Boston, MA is $28.62, according to ZipRecruiter salary data. Most workers in this role earn between $23.22 and $30.29 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 Boston, MA?

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

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

The top searched job categories for Machine Learning Secret Clearance jobs in Boston, MA are:

Machine Learning Secret Clearance jobs near you

Lead Software Engineer (CLEARANCE REQUIRED)

STR

Woburn, MA • On-site

$174K - $220K/yr

Full-time

Re-posted 16 days ago

Job description

About the Team

STR's Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers.

The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management.

The Role

As a Lead Software Engineer at STR, you will help develop disruptive technologies focused on estimation theory, prediction and system resource management.  You will design and implement flexible software solutions and collaborate with multi-disciplinary project teams. You will provide high-impact, unique solutions for our customers' most important problems. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office.

Who you are:

  • Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government
  • MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
  • Proficient in writing maintainable, well documented code and APIs
  • Able to work and collaborate on multi-disciplinary teams
  • Experience using Linux
  • Expertise using C++, Python, and Java
  • Experience with container-based software (e.g. Docker, Kubernetes)

Even better:

  • Have experience in intelligence or military-related mission areas
  • Have experience with micro-service architecture and DevOps pipelines

Pay Information
Full-Time Salary Range: $174,000 - $220,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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