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Machine Learning Summer Intern Jobs in Washington

Analytica

2027 Summer Intern Associate

Bethesda, MD · Remote

$15.25 - $20.50/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 ...

Dev Technology

AI/ML Intern (Summer 2027)

Reston, VA · Hybrid

$21 - $30/hr

AI/ML Intern, #1092 Clearance: US citizenship required. Must be able to obtain a public trust ... Develop solutions using modern data science, artificial intelligence, and machine learning ...

Canvas

Engineering ( Summer Intern)

Arnold, MD

$16.25 - $21.25/hr

Engineering (Summer Intern) Location : Tullahoma, TN- Arnold AFB Canvas is accepting resumes for ... This internship provides a hands-on learning experience directly related to responsibilities that ...

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All JobsMachine Learning Summer Intern JobsMachine Learning Summer Intern Jobs in Washington

Machine Learning Summer Intern information

See Washington salary details

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$64

How much do machine learning summer intern jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for machine learning summer intern in Washington is $25.17, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $29.23 per hour, depending on experience, location, and employer.

What is a machine learning summer intern?

Machine Learning Summer Interns are students or recent graduates who work temporarily at a company, usually during the summer, to gain practical experience in machine learning. They typically assist with data analysis, model development, and research tasks under the supervision of experienced data scientists or engineers. This role allows interns to apply their academic knowledge to real-world problems, learn industry tools and workflows, and build professional networks. Internships often serve as a stepping stone to full-time positions in machine learning or related fields.

What types of projects does a machine learning summer intern typically work on?

Machine Learning Summer Interns often work on focused projects such as data preprocessing, developing and testing machine learning models, or contributing to research and prototyping efforts. These projects are designed to provide practical experience while directly supporting the team's ongoing initiatives, such as improving model accuracy or automating data pipelines. Interns usually collaborate closely with data scientists and engineers, gaining mentorship and exposure to real-world problem-solving. This hands-on involvement helps interns understand the end-to-end process of deploying machine learning solutions and prepares them for future roles in the field.

What are the key skills and qualifications needed to thrive as a machine learning summer intern?

To thrive as a Machine Learning Summer Intern, you need a solid understanding of programming (especially Python), foundational knowledge of machine learning concepts, and coursework or experience in statistics and mathematics. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate and adapt in a fast-paced research or development setting. These abilities are crucial for contributing to real-world projects, learning from experienced mentors, and building a foundation for a future career in machine learning.

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

AspectMachine Learning Summer InternData Science Summer Intern
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some experience in ML frameworksUndergraduate or graduate in statistics, CS, or related fields; experience in data analysis
Work EnvironmentDeveloping ML models, algorithms, and prototypes in tech or research companiesAnalyzing datasets, creating reports, and supporting data-driven decisions in various industries
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, marketing, and tech firms

While both roles involve working with data, Machine Learning Summer Interns focus on developing algorithms and models, whereas Data Science Summer Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and project scope.

What are the most commonly searched types of Machine Learning Summer jobs in Washington?

The most popular types of Machine Learning Summer jobs in Washington are:

What cities in Washington are hiring for Machine Learning Summer Intern jobs?

Cities in Washington with the most Machine Learning Summer Intern job openings:

Machine Learning Summer Intern jobs near you
Infographic showing various Machine Learning Summer Intern job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,359 per year, or $25.2 per hour.

2027 Summer Intern Associate

Bethesda, MD • Remote

Analytica
51 - 200 employees
Learn more about Analyticaexternal

$15.25 - $20.50/hr

Part-time

Medical, Retirement

Re-posted 27 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 by Inc. Magazine as 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


About ANALYTICA: 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 established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. 

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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