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Senior Computer Science Internships Jobs (NOW HIRING)

ANSER

Senior Computer Scientist

Reston, VA · On-site

ANSER is seeking a Senior Computer Scientist to support AI/ML Quality Assurance Framework efforts ... Required : • TS/SCI with Poly Clearance • Master's degree in Data Science, Computer Science ...

ANSER

Senior Computer Scientist

Reston, VA · On-site

They are seeking a Senior Computer Scientist to support AI/ML Quality Assurance Framework efforts ... Required : • TS/SCI with Poly Clearance • Master's degree in Data Science, Computer Science ...

Prescient Edge

Senior Computer Programmer

Bethesda, MD · On-site

Job Title Senior Computer Programmer Location Bethesda, MD 20800 US (Primary) Category Research ... Computer software engineers apply the principles and techniques of computer science, engineering ...

AgileEngine

Senior Computer Vision Engineer

Dallas, TX · On-site

$103K - $142K/yr

We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases -- building and deploying solutions for ...

New

Peraton

Computer Scientist - Senior

Washington, DC

$135K - $216K/yr

The Senior Computer Scientist utilizes expertise in designing, developing, and maintaining data ... Employ mathematics, statics, information science, artificial intelligence, machine learning ...

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Senior Computer Science Internships information

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$25K

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$163.5K

How much do senior computer science internships jobs pay per year?

As of Jun 27, 2026, the average yearly pay for senior computer science internships in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Computer Science Internships vs Computer Science Internships?

AspectSenior Computer Science InternshipsComputer Science Internships
Required CredentialsTypically enrolled in or recent graduate of a bachelor's or master's program, with some experienceUsually students pursuing a bachelor's degree in computer science or related field
Work EnvironmentProfessional tech companies, startups, or research labs; more complex projectsEntry-level tasks in similar environments, often supervised closely
Employer & Industry UsageUsed by companies seeking advanced internship candidates for specialized projectsCommon for students gaining initial industry experience

Senior Computer Science Internships are designed for candidates with more academic progress or some experience, handling more complex tasks. In contrast, Computer Science Internships are typically for students starting their industry journey. Both roles provide valuable experience, but Senior Internships often involve greater responsibility and technical challenge.

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What cities are hiring for Senior Computer Science Internships jobs? Cities with the most Senior Computer Science Internships job openings:
What are the most commonly searched types of Computer Science Internships jobs? The most popular types of Computer Science Internships jobs are:
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Senior Computer Science Internships jobs near you
Infographic showing various Senior Computer Science Internships job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Computer Scientist

Analytic Services Inc

Washington, DC

Other

Posted 17 hours ago

Job description

Position Summary

ANSER is seeking a Senior Computer Scientist to support AI/ML Quality Assurance Framework (QAF) efforts by integrating mathematics, statics, information science, AI, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.

Day-to-Day Responsibilities

  • Review and evaluate QAF documentation submitted by Advanced Analytic (AA) owners to ensure compliance with tradecraft standards and adherence to best practices in AI system development and deployment.
  • Assess QAF documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to AA owners and developers.
  • Develop and utilize and data mining algorithms based on open-source capabilities. Integrates or codes algorithms to support Government intelligence search and discovery missions.
  • Make best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints.
  • Assist in maintaining a repository of QAF documentation to facilitate knowledge sharing and best practices across the organization.
  • Provide consultation and guidance to AA owners, developers, and stakeholders on the QAF process, including best practices for Al system development, testing, and
  • Collaborate with AA owners and developers to identify and address potential issues or gaps in QAF documentation.
  • Develop and deliver training materials and workshops to educate AA owners, developers, and stakeholders on the QAF process and its application in AI system development.
  • Assist analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language.
  • Collaborate with stakeholders to develop, implement, and refine best practices for
  • translating technical documentation into tradecraft compliant language.
  • Review and edit translated documentation to ensure accuracy, completeness, and
  • adherence to tradecraft standards.
  • Support capability development by contributing, editing, and storing code in
  • Government owned/controlled source version control repositories.
  • Employ data science techniques to support predictive analysis, social across the Defense Intelligence Enterprise (DIE).

Required Qualifications

  • Active TS/SCI clearance with the ability to obtain and maintain a polygraph.
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field.
  • Twelve or more years of experience in data science, analytics, or machine learning.
  • Proficiency in Python, R, and SQL, and experience with data visualization tools such as Power BI or Tableau.
  • Strong experience with predictive modeling, data mining, statistical analysis, and ML algorithms.
  • Experienced with knowledge graphs, semantic data modeling, and query languages (e.g., SPARQL, GraphQL).
  • Experience developing, implementing, and evaluating AI/ML models for analytic efficiency and tradecraft compliance.

Preferred Qualifications

  • Experience supporting DIA, IC, or DoD analytic modernization or OBI initiatives.
  • Experience support of intelligence or defense missions
  • Working knowledge of TEVV methodologies, bias detection, and fairness analysis for AI systems.
  • Experience with distributed data processing, cloud-based analytics, or large-scale machine learning architectures.
  • Demonstrated understanding of Object Based Intelligence frameworks.
  • Experience with DoD 8570/8140 compliance and responsible AI policy frameworks.
  • Experience working with in support of Defense Intelligence All-source Analytic Enterprise (DIAAE) OBI efforts, the Defense Intelligence Enterprise Knowledge Model (DIEKM), and Defense Intelligence Core Ontology (DICO).
  • Developing OBI governance and tradecraft to assist DIA and other DIAAE organizations conducting OBI.

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