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Machine Learning Scientist Jobs in Washington, DC

AISquared

Machine Learning Engineer

Washington, DC · On-site

... Machine Learning Engineer to join their core AI team. In this role, you will be responsible for ... scientists and product teams to ensure reliable and efficient solutions. Responsibilities : • ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data ...

AeroVironment

Machine Learning Engineer II

Centreville, VA · On-site

$102K - $155K/yr

Study and transform data science prototypes; Research and implement appropriate ML algorithms and tools * Select appropriate datasets and data representation methods; Run machine learning tests and ...

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All JobsMachine Learning Scientist JobsMachine Learning Scientist Jobs in Washington, DC

Machine Learning Scientist information

See Washington, DC salary details

$84.3K

$152.9K

$214.2K

How much do machine learning scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning scientist in Washington, DC is $152,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,597.00 and $170,175.00 per year, depending on experience, location, and employer.

What is a machine learning scientist?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What does a machine learning scientist do?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

What skills and qualifications are needed to be a machine learning scientist?

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

What are the most commonly searched types of Machine Learning Scientist jobs in Washington, DC? The most popular types of Machine Learning Scientist jobs in Washington, DC are:
What are popular job titles related to Machine Learning Scientist jobs in Washington, DC? For Machine Learning Scientist jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Scientist jobs in Washington, DC look for? The top searched job categories for Machine Learning Scientist jobs in Washington, DC are:
Machine Learning Scientist jobs near you
Infographic showing various Machine Learning Scientist job openings in Washington, DC as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $152,909 per year, or $73.5 per hour.

Data Scientist - AI/Machine Learning

Markon

Annapolis Junction, MD • On-site

$150K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 1 hour ago

Job description

Description
PLEX Solutions, A Part of Markon, is looking for a Software Developer who will use AI and machine learning tools in support of a cutting-edge program in the Annapolis Junction, MD area.
Responsibilities
  • Perform/utilize statistics, machine learning and analytic approaches to answer key intelligence questions, producing results and re-usable products that provide real value to Analysts.
  • Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of a process.
  • Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, periodically re-evaluate and refine machine learning models being used in production.
  • Curate and collect the data from a variety of traditional and non-traditional sources: extract data from sources, transform and integrate data in line with existing data, and load data into data stores for access by others.
  • Collaborate with Data Scientists to develop processes and tools to monitor and analyze model performance and data accuracy.
  • Work with analysts to interpret analytic results and refine analysis as needed.
  • Effectively communicate results and ideas to key decision makers, analysts and other stakeholders and shall provide information as appropriate.
  • Perform documentation of all processes, models and activities by developing, documents, and implement a configuration management plan for data sets.
  • Research latest data science tradecraft and technology

Qualifications
  • Active TS/SCI W/ Polygraph
  • Bachelor's degree in relevant field and 8 years of experience; an advanced degree will be considered in lieu of years of experience.
  • 3+ years of Defensive Cyber Operations experience.
  • 3+ years of Machine Learning techniques and statistical model evaluation.

Preferred Qualifications:
  • Master's degree in relevant field and 4 years of experience.
  • Demonstrated proficiency with R or Python, and SQL to manipulate data and draw insights from large and small data sets
  • Exposure to AWS (Amazon Web Services), Cisco (CCNA), and/or STIGs/IAVA, Big Data Platform (BDP)
  • Strong background and skills in Linux (Ubuntu, CentOS, RHEL)/Windows/Virtual environments
  • A problem solver who can get in, be given a project, and use engineering skills to determine a solution
  • Python, Jupyter Notebooks, Network Analysis Tools

Salary Range
USD $150,000.00 - USD $210,000.00 /Yr.
The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Overview
Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.
At Markon, we don't just offer jobs - we offer opportunities for personal and professional transformation. Empowering our employees to lead, innovate, and excel, we foster an environment where new ideas are not just welcomed but celebrated. As a perennial Washington Post Top Workplace, we prioritize the well-being and success of our team members, ensuring they can bring their best selves to work.
Headquartered in Falls Church, Virginia, Markon has garnered national recognition for our unwavering dedication to excellence in serving the intelligence community, as well as federal civilian and defense agencies. Our growing reach extends across 17 states, 116 countries, and 5 continents, where our team of dynamic professionals collaborates to deliver unparalleled program and project management services.
Markon values people and the tremendous impact each individual can make - which is why we're consistently recognized as one of the best places to work in federal government consulting. Here, you can help solve the nation's most important challenges, surrounded by colleagues who help you grow, advance, and succeed. We are deeply dedicated to what matters - bringing out the best in each other to advance our clients' missions.
Join us and make a meaningful impact.
Markon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, national origin, age, protected veteran status, or disability status. This job posting will remain open until the position is filled.
Benefits Offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Training and Tuition Assistance, Paid Time Off, and Holidays.

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