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Remote Research Engineer Jobs in Washington (NOW HIRING)

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

... Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote ... About KnexusAt Knexus Research, we are at the forefront of AI development for the government, with ...

Peraton

Expert Level Systems Engineer

Chantilly, VA · On-site +1

$135K - $216K/yr

Operations Research * Engineering Management * Management Information Systems * or another related ... Remote sensing * Image science * Geographic Information Systems (GIS) * Geomatics * Information ...

Peraton

Expert Level Systems Engineer

Chantilly, VA · On-site +1

$135K - $216K/yr

Operations Research * Engineering Management * Management Information Systems * or another related ... Remote sensing * Image science * Geographic Information Systems (GIS) * Geomatics * Information ...

10a Labs

Red Teaming Fellowship

Washington, DC · On-site +1

$32.50/hr

Fellows work alongside researchers, engineers, and subject-matter experts to identify ... Remote work (based in the continental U.S.) * Flexible schedule, up to 20 hours per week ...

Astrion

Flight Software Engineer

Washington, DC · On-site +1

$105K - $155K/yr

Citizenship, DoD Secret Clearance TRAVEL: 10% (if remote)   Astrion is seeking a Flight Software Engineer to support small satellite flight software development for the Air Force Research ...

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Remote Research Engineer information

See Washington salary details

$41.9K

$120.1K

$161.4K

How much do remote research engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote research engineer in Washington is $120,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $117,800.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a remote research engineer?

A Remote Research Engineer typically needs a strong background in scientific research methods, programming, data analysis, and a relevant degree in engineering or a related field. Familiarity with statistical software, cloud-based collaboration tools, and experience with programming languages such as Python or MATLAB are often required, with additional certifications in machine learning or data science considered advantageous. Excellent written and verbal communication, problem-solving abilities, and self-motivation are key soft skills for success in remote environments. These competencies enable effective independent work, high-quality research output, and seamless collaboration within distributed teams.

What is a remote research engineer?

A Remote Research Engineer is a professional who conducts research and develops new technologies, algorithms, or solutions while working remotely. They typically work in fields like artificial intelligence, machine learning, software development, or scientific research. Their responsibilities include designing experiments, analyzing data, and collaborating with teams using digital communication tools. This role requires strong problem-solving skills, self-motivation, and proficiency in programming or research methodologies. Remote Research Engineers often contribute to cutting-edge advancements while maintaining flexibility in their work environment.

What are some unique challenges faced by remote research engineers and how can they be overcome?

Remote Research Engineers often encounter challenges related to collaborating across different time zones, ensuring clear communication, and maintaining access to necessary data or computational resources. To overcome these issues, it's important to leverage project management tools, establish regular virtual meetings, and proactively document and share research findings with the team. Strong time management and self-discipline are also essential to balance deep-focus research tasks with collaborative discussions. Organizations usually provide virtual platforms and cloud infrastructure to support seamless work, but developing personal workflows for communication and resource access can further enhance effectiveness in the role.

What are popular job titles related to Remote Research Engineer jobs in Washington? For Remote Research Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Research Engineer jobs in Washington look for? The top searched job categories for Remote Research Engineer jobs in Washington are:
What cities in Washington are hiring for Remote Research Engineer jobs? Cities in Washington with the most Remote Research Engineer job openings:
Remote Research Engineer jobs near you
Infographic showing various Remote Research Engineer job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,069 per year, or $57.7 per hour.

AI Software Engineer (Remote)

Knexus

Vienna, VA • Remote

Full-time

Re-posted 27 days ago

Job description

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the Eastern Standard Time (EST) zone. You will be instrumental in the entire software development lifecycle, from initial design to final delivery, creating AI-powered software products that aid military commanders and business leaders in making mission-critical decisions. The ideal candidate will have exceptional algorithmic and problem-solving skills, and a strong background in software engineering, enabling them to make an immediate impact on our projects. We are committed to providing you with the necessary tools and training to produce world-class software.ResponsibilitiesCollaborative Design & Implementation: You will collaboratively design, implement, and test AI enabled software systems. This role involves leveraging cutting-edge technologies, including GenAI and machine learning models.Modular Systems Development: Develop modular systems within a distributed architecture, such as with RESTful containerized microservices.Performance Optimization: Review and analyze software runtime performance, making algorithmic and performance improvements.Agile Development: Use agile development techniques throughout the project lifecycle.Qualifications and ExperienceExperience: 6-8 years of experience in software development, including design, coding, testing, and delivery.Core Skills: You should have mastery in object-oriented design and programming, as well as knowledge of design patterns and algorithmic analysis.Programming Languages: Proficiency in Python is a must, experience with other languages such as JavaScript, TypeScript, or C++ is useful but not critical.GenAI: Experience building applications leveraging LLMs as a core componentWork Environment: Experience working in a small, remote team environment is preferred.Government Clearance: You must be a U.S. citizen and eligible for a government security clearance (Secret Clearance).Bonus ExperienceAI/ML: Exposure to AI and/or Machine Learning technologies is a plus.Specialized Knowledge: Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific evaluations and comparisons is highly valued.Google Cloud Platform: Experience using and deploying technologies onto GCP, existing GCP credentials, and familiarity with VertexAI.Technical Familiarity: Familiarity with technologies such as Docker, Node, and REST APIs is a bonus. Experience with database systems such as Firebase and PostgreSQL.About KnexusAt Knexus Research, we are at the forefront of AI development for the government, with a mission to revolutionize how government serves its citizens. As a pioneer in the field, we've spent nearly two decades pushing the boundaries of what is possible with artificial intelligence. Our work has a direct, mission-driven impact, and we believe that our innovative ideas help us stay ahead of the curve. Our partnership with Google Cloud gives our team unparalleled access to the latest tools and expertise.