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Startup Machine Learning Intern Jobs in Springfield, VA

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 ...

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 ...

Bah

University - Applied AI Intern

Washington, DC

$69K - $158K/yr

As an Applied AI Intern, you'll help our defense mission space team explore new approaches in ... In this role, you'll help build tools, applications, and pipelines that integrate machine learning ...

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Showing results 41-60

All JobsStartup Machine Learning Intern JobsStartup Machine Learning Intern Jobs in Springfield, VA

Startup Machine Learning Intern information

See Springfield, VA salary details

$26.6K

$44.5K

$91.9K

How much do startup machine learning intern jobs pay per year?

As of Sep 2, 2026, the average yearly pay for startup machine learning intern in Springfield, VA is $44,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 per year, depending on experience, location, and employer.

What does a startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

What are the key skills and qualifications needed to thrive as a startup machine learning intern, and why are they important?

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

What is the difference between Startup Machine Learning Intern vs Startup Data Scientist?

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

Startup Machine Learning Intern jobs near you
Infographic showing various Startup Machine Learning Intern job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,480 per year, or $21.4 per hour.

2027 Summer Intern Associate

Analytica

Bethesda, MD • On-site, Remote

$16 - $21.50/hr

Part-time

Medical, Retirement

Re-posted 19 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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