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Ml Researcher Jobs in Virginia (NOW HIRING)

Noblis

AI/ML Engineer, Mid

Reston, VA · On-site

Experience contributing to or publishing applied ML research, patents, conference presentations, or open-source projects * 7+ years of experience designing, developing, and deploying machine learning ...

Air

Principal Product Manager - AI/ML

Arlington, VA · On-site

In this role, you will bridge the gap between cutting-edge AI/ML research and practical defense acquisition applications. In order to do this job well, you must possess a moderate technical ...

Air

Principal Product Manager - AI/ML

Arlington, VA · On-site +1

In this role, you will bridge the gap between cutting-edge AI/ML research and practical defense acquisition applications. In order to do this job well, you must possess a moderate technical ...

Closure Technologies

AI/ML Engineer

Mclean, VA

Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments.

Closure Technologies

AI/ML Engineer

Mclean, VA · On-site

Required : • Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research ...

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Ml Researcher information

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$29.7K

$112.1K

$163.1K

How much do ml researcher jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ml researcher in Virginia is $112,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $152,700.00 per year, depending on experience, location, and employer.

What is an ML researcher?

ML Researchers, or Machine Learning Researchers, are professionals who develop new algorithms, models, and techniques in the field of machine learning. They work on advancing the theoretical foundations of AI, as well as creating practical applications for industries such as healthcare, finance, and technology. Their work often involves designing experiments, analyzing large datasets, and publishing findings in academic journals or conferences. ML Researchers collaborate with engineers and data scientists to move innovations from theory to real-world solutions.

What are the key skills and qualifications needed to thrive as an ML researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need a solid background in mathematics, statistics, programming (typically Python), and a relevant advanced degree such as a Master's or Ph.D. in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and experience with large datasets and cloud computing platforms are commonly required. Strong problem-solving abilities, creativity, and effective communication are vital soft skills for innovating and sharing complex ideas. These skills and qualities enable researchers to advance the state of the art, collaborate effectively, and translate research into practical applications.

What are some common challenges ML researchers face when transitioning from academia to industry roles?

ML Researchers often find that transitioning from academia to industry involves adjusting to faster project timelines, a greater focus on practical applications, and more collaborative, cross-functional teams. Unlike academic research, industry roles typically require aligning research objectives with business goals and demonstrating clear value through measurable outcomes. Additionally, researchers may need to adapt to using large-scale production data, deploying models, and maintaining solutions in real-world environments. Embracing agile methodologies and effective communication with stakeholders from diverse backgrounds are key to overcoming these challenges.

What is the difference between Ml Researcher vs Data Scientist?

AspectML ResearcherData Scientist
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, academiaCorporate sectors, finance, healthcare, marketing
Common Search & ComparisonYesYes

While both roles involve working with data and algorithms, ML Researchers focus on developing new machine learning models and advancing AI research, often in academic or research settings. Data Scientists analyze data to derive insights and support business decisions, typically working in industry environments. Understanding these differences helps clarify career paths and job expectations.

How to become an ML researcher?

To become an ML researcher, one typically needs a strong background in computer science, mathematics, or related fields, often demonstrated by a master's or Ph.D. degree. Developing expertise in machine learning algorithms, programming skills in languages like Python, and experience with tools such as TensorFlow or PyTorch are essential. Engaging in research projects, publishing papers, and staying current with advancements in the field also support career development.

What are the most commonly searched types of Ml Researcher jobs in Virginia?

The most popular types of Ml Researcher jobs in Virginia are:

What are popular job titles related to Ml Researcher jobs in Virginia?

For Ml Researcher jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ml Researcher jobs in Virginia look for?

The top searched job categories for Ml Researcher jobs in Virginia are:

Ml Researcher jobs near you
Infographic showing various Ml Researcher job openings in Virginia as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $112,132 per year, or $53.9 per hour.

AI/ML Research Scientist - Agentic Systems

Peraton

Herndon, VA • On-site

$104K - $166K/yr

Full-time

Re-posted 17 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 226 rated it services

Job description

Responsibilities

Peraton Labs is seeking AI/ML Research Scientists to support the development of AI-enabled products and technical capabilities for the FAA BNATCS Program. You will work closely with Labs internal Agentic AI teams in support of the Program CTO to perform analysis, build software, develop prototypes, and contribute to mission-relevant solutions. Successful candidates will combine strong software engineering and AI/ML skills with curiosity, adaptability, and a collaborative mindset.

Within this role you will help build the next generation of AI-enabled mission capabilities in a hands-on environment where strong ideas, adaptability, and engineering execution matter. This is an opportunity to work on meaningful problems alongside high-caliber teams developing real products.

Key responsibilities may include:

  • Design, develop, test, and refine AI/ML-enabled applications and components supporting Digital Command Center objectives
  • Conduct analysis, experimentation, and coding in support of agentic AI workflows and technical products
  • Build software using Python and other languages as required by the mission and technical environment
  • Integrate LLMs and API-based AI services into usable tools and workflows
  • Collaborate with internal Labs teams to move ideas from prototype to practical capability
  • Contribute across the stack as needed, including data processing, backend logic, orchestration, and user-facing features
  • Evaluate emerging tools, frameworks, and technical approaches relevant to AI-enabled mission systems
  • Support a team culture grounded in learning agility, openness to feedback, and strong collaboration
Qualifications

Required Qualifications

  • Bachelor's degree with 5+ years of relevant experience, Master's with 3+ years, or PhD with demonstrable applied AI/ML experience
  • Strong software development experience with expertise in Python
  • Experience with one or more additional programming languages such as C, C++, or JavaScript
  • Demonstrated AI/ML experience through a record of professional work, research, prototypes, or delivered technical projects
  • Experience working with LLMs at the API level
  • Familiarity with agentic AI concepts, autonomous workflows, or intelligent orchestration patterns
  • Strong analytical problem-solving skills and ability to work in an evolving technical environment
  • US Citizenship with ability to obtain/maintain an FAA Public Trust suitability
  • Must be local to and able to commute to one of our on-site locations: Annapolis Junction, MD; Bowie, MD; or Herndon, VA

Desired Qualifications

  • Experience with ML libraries and frameworks such as PyTorch or TensorFlow
  • Familiarity with Anthropic Model Context Protocol (MCP)
  • Experience with infrastructure/orchestration tooling such as Kubernetes and Terraform
  • Understanding of networking fundamentals and the OSI stack
  • Experience with full-stack development or end-user product development
  • Background in applied research, rapid prototyping, or mission-oriented software development
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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