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Machine Learning Intern Jobs in Washington (NOW HIRING)

Analytica

2027 Summer Intern Associate

Bethesda, MD · On-site +1

$16 - $21.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis ... Support development of machine learning or statistical models * Prepare datasets for analysis and ...

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Machine Learning Intern information

See Washington salary details

$28.9K

$48.2K

$99.7K

How much do machine learning intern jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning intern in Washington is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Washington? The most popular types of Machine Learning jobs in Washington are:
What are popular job titles related to Machine Learning Intern jobs in Washington? For Machine Learning Intern jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Washington look for? The top searched job categories for Machine Learning Intern jobs in Washington are:
What cities in Washington are hiring for Machine Learning Intern jobs? Cities in Washington with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Washington as of May 2026, with employment types broken down into 58% Full Time, 30% Part Time, 4% Temporary, 4% Contract, and 4% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.
2027 Summer Intern Associate

2027 Summer Intern Associate

Analytica

Bethesda, MD • On-site, Remote

$16 - $21.50/hr

Part-time

Medical, Retirement

Posted 13 days ago

Job description

Analytica is seeking motivated students and early-career professionals to join our 2027 Summer Associate Internship Program an open opportunity designed to provide hands-on experience across multiple functional areas of the organization.
Interns will be placed on teams aligned with their academic background, interests, and business needs. Participants will contribute to meaningful projects, gain exposure to industry tools and practices, and develop professional skills in a collaborative environment.
This internship program supports career exploration across both technical and business disciplines, offering real-world experience supporting operational, analytical, and strategic initiatives.
Our company has been recognized byInc. Magazineas one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. Potential Internship Tracks
Interns may be aligned to one of the following areas:Data Science Intern
  • Assist with data analysis, modeling, and exploratory data analysis
  • Support development of machine learning or statistical models
  • Prepare datasets for analysis and validation
  • Create dashboards, visualizations, and analytical summaries
  • Document methodologies and findings for stakeholders
Data Engineering Intern
  • Support development and maintenance of data pipelines
  • Assist with data ingestion, transformation, and integration workflows
  • Work with cloud or database technologies to manage datasets
  • Help improve data quality, governance, and automation processes
  • Participate in DataOps or ETL/ELT activities
Finance Intern
  • Assist with budgeting, forecasting, and financial reporting activities
  • Support financial analysis and cost tracking
  • Help prepare financial documentation and presentations
  • Analyze operational or program financial data
  • Support internal reporting and process improvements
Contracts / Business Operations Intern
  • Assist with contract administration and documentation tracking
  • Support proposal preparation and compliance activities
  • Help maintain contract records and reporting artifacts
  • Participate in process documentation and workflow improvements
  • Support coordination between legal, finance, and program teams
Human Resources Intern
  • Support recruitment, onboarding, and talent management activities
  • Assist with HR administrative tasks, record keeping, and reporting
  • Participate in employee engagement, training, or development initiatives
  • Help prepare HR communications, presentations, or surveys
  • Support HR process improvement and cross-functional projects
Core Responsibilities
Regardless of placement, interns will:
  • Support ongoing projects and operational initiatives
  • Conduct research, analysis, and documentation
  • Collaborate with cross-functional teams
  • Participate in meetings and team planning sessions
  • Deliver assigned tasks within established timelines
  • Learn organizational tools, systems, and best practices
  • Present internship outcomes or project learnings (if applicable)
Basic Qualifications
  • Currently pursuing Bachelor's, or Master's degree
  • Strong interest in learning and professional development
  • Strong communication and organizational skills
  • Ability to manage multiple tasks and priorities
  • Proficiency in Microsoft Office or Google Workspace
Preferred Qualifications
(Varies by internship track)
  • Data Science: Python, R, statistics, machine learning coursework
  • Data Engineering: SQL, databases, cloud platforms, or scripting experience
  • Finance: Accounting, finance, or economics coursework
  • Contracts / Business Operations: Business, legal studies, public administration, or related field
  • HR: Human Resources, Organizational Psychology, Business Administration, or related coursework
  • Analytical mindset and problem-solving ability
  • Experience working on team projects
What You'll Gain
  • Hands-on professional experience
  • Exposure to real-world business and technical environments
  • Mentorship from experienced professionals
  • Cross-functional collaboration opportunities
  • Resume-building project experience
  • Networking and career development support
Work Environment
We foster a collaborative, inclusive environment where interns are encouraged to contribute ideas, ask questions, and take ownership of their learning experience.Additional Requirements
  • Ability to obtain and maintain a Public Trust or security clearance
  • U.S. Citizenship based on contract needs

AboutANALYTICA:Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an establishedSBA small businessthat hasbeen recognized byInc. Magazineeach of the past three years as one of the 250 fastest-growingcompanies in theU.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services.The companyis appraised by theSoftware Engineering Institute (SEI) atCMMI® Maturity Level 3and is anISO 9001:2008 certifiedprovider.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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