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Computer Science Research Jobs in Washington (NOW HIRING)

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... You will be involved in research, development, and problem-solving, helping to shape the future of ...

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... You will be involved in research, development, and problem-solving, helping to shape the future of ...

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... You will be involved in research, development, and problem-solving, helping to shape the future of ...

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Computer Science Research information

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How much do computer science research jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for computer science research in Washington is $25.17, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $26.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computer Science Research position, and why are they important?

Success in Computer Science Research requires a solid background in computer science theory, algorithms, mathematics, and typically a graduate degree such as a Master's or Ph.D. in a relevant field. Familiarity with programming languages (such as Python, Java, or C++), research tools (e.g., MATLAB, TensorFlow), and publishing research in peer-reviewed venues is highly valuable. Strong analytical thinking, problem-solving, written communication, and collaboration skills allow researchers to effectively explore novel ideas and present their findings. These competencies are critical for advancing technology, contributing original research, and working effectively in academic or industry research environments.

What is a Computer Science Research job?

A Computer Science Research job involves investigating fundamental and applied problems in computing to develop new algorithms, technologies, or theories. Researchers work in academia, industry, or government labs, focusing on areas such as artificial intelligence, cybersecurity, and data science. They conduct experiments, publish findings, and collaborate with other experts to advance the field.

What are the typical daily responsibilities of someone working in Computer Science Research?

Professionals in Computer Science Research spend their days designing and conducting experiments, analyzing data, reviewing current literature, and developing new algorithms or models. They often collaborate with cross-functional teams, including other researchers, engineers, and sometimes product managers, to advance the understanding or application of emerging technologies. A significant portion of their work also involves writing and presenting research papers, prototyping solutions, and occasionally mentoring students or junior team members. The role is dynamic and involves both independent investigation and teamwork to solve complex technical problems.

What are the most commonly searched types of Computer Science Research jobs in Washington? The most popular types of Computer Science Research jobs in Washington are:
What are popular job titles related to Computer Science Research jobs in Washington? For Computer Science Research jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Computer Science Research jobs? Cities in Washington with the most Computer Science Research job openings:
Infographic showing various Computer Science Research job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $52,350 per year, or $25.2 per hour.
Assistant Research Scientist (PREP0004217)

Assistant Research Scientist (PREP0004217)

Johns Hopkins University

Gaithersburg, MD • On-site

Full-time

Re-posted 23 days ago


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Job description

Description
PREP Research Associate
This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title:
Measurement Science for AI Decision-Making in Automated Driving Systems
The work will entail:
The Measurement Science for Automated Vehicles project at NIST is seeking a candidate to support measurement science research for AI decision-making in automated vehicles. This position contributes to NIST's development of a tiered measurement framework for evaluating AI decision-making performance. The candidate will focus on two core areas: 1) building and curating a scenario database for decision-making evaluation and 2) developing standardized state representations for the evaluation framework.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
• Scenario Database Development
o Build and curate a database of behavioral planning test scenarios sourced from Safety Pool™ and other relevant datasets
o Develop scenario classification and tagging systems to support systematic evaluation of behavioral competencies (e.g., lane changes, merges, yielding, intersection navigation)
o Implement tools for scenario selection, parameterization, and configuration for use in simulation-based testing
o Create methods for generating scenario variants to ensure comprehensive coverage of edge cases and challenging traffic situations
• Vehicle State Representation
o Design and implement a standardized format for representing vehicle state information exchanged between the simulation environment and the automated driving (AD) stack under test
o Define world state schemas that capture relevant traffic context, road geometry, and dynamic agent information needed for behavioral planning evaluation
o Develop message schemas and interface specifications for the Evaluation Gateway, including cryptographic hashing methods for data integrity verification
o Ensure compatibility of state representations with industry standards and common AD stack architectures (both end-to-end and modular)
Qualifications
• MS or (BS + 2 years of experience) in Computer Science, Robotics, AI/Machine Learning, or related engineering fields
• Strong programming experience in Python and C++, with familiarity with AI/ML frameworks (TensorFlow, PyTorch, etc.)
• Experience with autonomous vehicle simulation environments (CARLA, SUMO, or similar)
• Knowledge of autonomous vehicle systems architecture and behavioral planning concepts
• Experience with ROS 2 on Linux systems
• Experience with version control software and workflow (Git/GitHub/GitLab)
• Understanding of data modeling principles and validation methodologies
• Familiarity with database design and management for storing and querying structured scenario data
Application Instructions
Please upload the following with your application:
• CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
Self portraits
Phone number
Home address/Country
Citizenship status
Languages spoken
Sex/Gender
Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.

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