Machine Learning Intern Jobs in District of Columbia
Machine Learning Intern jobs in District of Columbia draw strong demand from a market anchored in federal agencies, defense contractors, and policy-driven research institutions, with openings at every level from first-year undergraduates to advanced doctoral candidates. Washington, D.C. is the dominant hiring hub, with activity extending into nearby corridors, and established employers like Booz Allen Hamilton, Leidos, and the Mitre Corporation regularly take on machine learning interns across natural language processing, computer vision, and data pipeline development. Roles often center on applied research with national security, public health, or policy analytics applications. See the openings below and apply to the ones that match your experience.
Find Machine Learning Intern JobsOverview
Showing 5 of 14+ Machine Learning Intern jobs
Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
What You Will Do:
- Design, develop, implement, and maintain AI and machine learning solutions that improve healthcare, public health, biomedical research, and operational decision-making.
- Identify opportunities to improve organizational efficiency by applying AI, automation, and advanced analytics to streamline business processes, reduce manual effort, and enhance workforce productivity.
- Design and implement AI-enabled workflow solutions for document processing, knowledge management, literature reviews, information retrieval, case management, reporting, decision support, and other operational functions.
- Develop Generative AI (GenAI) solutions using large language models (LLMs), retrieval augmented generation (RAG), semantic search, vector databases, AI agents, and prompt engineering techniques.
- Develop predictive, classification, clustering, natural language processing (NLP), computer vision, and other machine learning models using structured, semi-structured, and unstructured data.
- Develop scalable data science pipelines using Python, SQL, Spark, and cloud-native analytics platforms.
- Evaluate, validate, and monitor AI models for performance, explainability, fairness, bias, reproducibility, and operational effectiveness.
- Collaborate with epidemiologists, researchers, engineers, program staff, and business stakeholders to identify AI use cases, prioritize opportunities, and translate business needs into production-ready AI solutions.
- Develop dashboards, visualizations, technical documentation, presentations, and demonstrations that communicate AI capabilities and analytical findings to technical and non-technical audiences.
- Support deployment, monitoring, and continuous improvement of AI and machine learning solutions using modern MLOps and DevSecOps practices.
- Apply responsible AI principles, governance, privacy, security, and human-in-the-loop review throughout the AI lifecycle.
- Mentor junior team members and provide technical leadership, solution design, and code reviews as appropriate.
What You Will Need:
- Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or related field (or equivalent professional experience).
- Experience developing AI and machine learning solutions using Python and common data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
- Experience applying AI to automate workflows, improve business processes, or enhance operational efficiency.
- Experience developing Generative AI applications using large language models (LLMs), prompt engineering, retrieval augmented generation (RAG), or similar techniques.
- Experience developing statistical models, predictive analytics, classification, clustering, regression, or natural language processing (NLP) solutions.
- Strong SQL skills and experience working with relational databases and cloud-based data platforms.
- Experience preparing, integrating, transforming, and analyzing structured and unstructured data to support AI, machine learning, and advanced analytics solutions.
- Experience deploying AI or machine learning solutions into production environments.
- Understanding of responsible AI principles, model evaluation, explainability, governance, and human oversight.
- Experience working in Agile software development environments and fast-paced, matrixed organizations
- Strong analytical, problem-solving, written, and verbal communication skills.
- Ability to work independently and collaboratively in multidisciplinary technical teams.
- U.S. Citizenship required.
- Ability to obtain and maintain a Public Trust or higher federal security clearance, as required.
What Would Be Nice To Have:
- Experience implementing AI copilots, intelligent assistants, AI agents, workflow automation, or enterprise knowledge management solutions.
- Experience with Azure OpenAI, OpenAI, Anthropic Claude, Amazon Bedrock, Google Vertex AI, Microsoft Copilot Studio, LangChain, LangGraph, LlamaIndex, Hugging Face, or similar AI frameworks.
- Experience with Databricks, Snowflake, Microsoft Fabric, Azure AI Foundry, Palantir Foundry, or other enterprise AI and analytics platforms.
- Experience with MLOps platforms such as MLflow, Azure ML, SageMaker, Kubeflow, or similar technologies.
- Experience supporting healthcare, public health, biomedical research, life sciences, surveillance, or real-world evidence (RWE) initiatives.
- Experience working with healthcare interoperability standards such as FHIR, HL7, LOINC, SNOMED CT, ICD-10, or OMOP.
- Experience implementing AI governance frameworks, model risk management, human-in-the-loop validation, and AI assurance processes.
- Experience supporting federal agencies such as CDC, HHS, NIH, CMS, FDA, or VA.
- Experience in consulting environments supporting multidisciplinary technical teams.
- Relevant AI, cloud, or data platform certifications.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
What You Will Do:
- Design, develop, implement, and maintain AI and machine learning solutions that improve healthcare, public health, biomedical research, and operational decision-making.
- Identify opportunities to improve organizational efficiency by applying AI, automation, and advanced analytics to streamline business processes, reduce manual effort, and enhance workforce productivity.
- Design and implement AI-enabled workflow solutions for document processing, knowledge management, literature reviews, information retrieval, case management, reporting, decision support, and other operational functions.
- Develop Generative AI (GenAI) solutions using large language models (LLMs), retrieval augmented generation (RAG), semantic search, vector databases, AI agents, and prompt engineering techniques.
- Develop predictive, classification, clustering, natural language processing (NLP), computer vision, and other machine learning models using structured, semi-structured, and unstructured data.
- Develop scalable data science pipelines using Python, SQL, Spark, and cloud-native analytics platforms.
- Evaluate, validate, and monitor AI models for performance, explainability, fairness, bias, reproducibility, and operational effectiveness.
- Collaborate with epidemiologists, researchers, engineers, program staff, and business stakeholders to identify AI use cases, prioritize opportunities, and translate business needs into production-ready AI solutions.
- Develop dashboards, visualizations, technical documentation, presentations, and demonstrations that communicate AI capabilities and analytical findings to technical and non-technical audiences.
- Support deployment, monitoring, and continuous improvement of AI and machine learning solutions using modern MLOps and DevSecOps practices.
- Apply responsible AI principles, governance, privacy, security, and human-in-the-loop review throughout the AI lifecycle.
- Mentor junior team members and provide technical leadership, solution design, and code reviews as appropriate.
What You Will Need:
- Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or related field (or equivalent professional experience).
- Experience developing AI and machine learning solutions using Python and common data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
- Experience applying AI to automate workflows, improve business processes, or enhance operational efficiency.
- Experience developing Generative AI applications using large language models (LLMs), prompt engineering, retrieval augmented generation (RAG), or similar techniques.
- Experience developing statistical models, predictive analytics, classification, clustering, regression, or natural language processing (NLP) solutions.
- Strong SQL skills and experience working with relational databases and cloud-based data platforms.
- Experience preparing, integrating, transforming, and analyzing structured and unstructured data to support AI, machine learning, and advanced analytics solutions.
- Experience deploying AI or machine learning solutions into production environments.
- Understanding of responsible AI principles, model evaluation, explainability, governance, and human oversight.
- Experience working in Agile software development environments and fast-paced, matrixed organizations
- Strong analytical, problem-solving, written, and verbal communication skills.
- Ability to work independently and collaboratively in multidisciplinary technical teams.
- U.S. Citizenship required.
- Ability to obtain and maintain a Public Trust or higher federal security clearance, as required.
What Would Be Nice To Have:
- Experience implementing AI copilots, intelligent assistants, AI agents, workflow automation, or enterprise knowledge management solutions.
- Experience with Azure OpenAI, OpenAI, Anthropic Claude, Amazon Bedrock, Google Vertex AI, Microsoft Copilot Studio, LangChain, LangGraph, LlamaIndex, Hugging Face, or similar AI frameworks.
- Experience with Databricks, Snowflake, Microsoft Fabric, Azure AI Foundry, Palantir Foundry, or other enterprise AI and analytics platforms.
- Experience with MLOps platforms such as MLflow, Azure ML, SageMaker, Kubeflow, or similar technologies.
- Experience supporting healthcare, public health, biomedical research, life sciences, surveillance, or real-world evidence (RWE) initiatives.
- Experience working with healthcare interoperability standards such as FHIR, HL7, LOINC, SNOMED CT, ICD-10, or OMOP.
- Experience implementing AI governance frameworks, model risk management, human-in-the-loop validation, and AI assurance processes.
- Experience supporting federal agencies such as CDC, HHS, NIH, CMS, FDA, or VA.
- Experience in consulting environments supporting multidisciplinary technical teams.
- Relevant AI, cloud, or data platform certifications.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
See All 14 Machine Learning Intern Jobs in District of Columbia
Find roles in District of Columbia that match your experience and apply in just a few clicks.
Find Machine Learning Intern JobsMachine Learning Intern Jobs by City in District of Columbia
Where District of Columbia roles are concentrated, by current openings.
Machine Learning Intern Job Market in District of Columbia
A snapshot from current District of Columbia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Construction & Real Estate
- Consulting & Professional Services
What District of Columbia Employers Look For
The qualifications that appear most often in machine learning intern jobs across District of Columbia.
- Currently enrolled in a bachelor's or master's degree program in computer science or related field
- Hands-on experience with Python and core machine learning libraries such as TensorFlow or PyTorch
- Ability to obtain and maintain a U.S. government security clearance or eligibility
- Familiarity with data preprocessing, model training, and evaluation on real-world datasets
- Experience applying machine learning methods to structured or unstructured data in a project context
- Strong written and verbal communication skills for documenting and presenting technical findings
Machine Learning Intern Jobs in District of Columbia: Frequently Asked Questions
How do you become a machine learning intern in District of Columbia?
Machine learning intern roles in District of Columbia do not require a state-issued license, but most positions require active enrollment in a bachelor's or graduate program in computer science, data science, or engineering. Because many D.C.-area employers are federal contractors, candidates who can demonstrate clearance eligibility gain a significant edge. A portfolio showing applied projects using Python-based frameworks, presented through coursework or independent work, is the most direct path to landing interviews with area employers.
Which companies hire machine learning interns in District of Columbia?
Employers hiring machine learning interns in District of Columbia right now include Booz Allen Hamilton, Anduril, and Parsons, based on current listings on Migrate Mate as of July 2026. The D.C. market is heavily shaped by federal contracting firms and research-focused organizations that staff internship pipelines year-round to support government-facing analytics and AI projects.
Which District of Columbia cities have the most machine learning intern jobs?
Washington account for the most machine learning intern openings in District of Columbia. Washington, D.C. itself drives the bulk of postings because the city is home to the headquarters of major federal agencies and the large defense and consulting contractors that serve them, while nearby suburban areas benefit from the same employer base spreading into Virginia and Maryland corridors.
Are there remote machine learning intern jobs in District of Columbia?
Yes, and they are more common than in many other intern roles, though a meaningful share of D.C.-area positions still require on-site work due to clearance or data-handling requirements. About 44% of machine learning intern openings tied to District of Columbia are remote or hybrid as of July 2026, reflecting the desk-based and analytical nature of the work. Roles focused on model development and data analysis tend to be the most flexible, while those involving classified systems or sensitive government data almost always require physical presence.
How can I get hired as a machine learning intern in District of Columbia with little or no experience?
The most realistic entry path is applying to structured internship cohort programs that large D.C.-area federal contractors such as Booz Allen Hamilton, SAIC, and Leidos run specifically for students without prior industry experience. These programs pair interns with mentors on government-sponsored AI projects and do not require a prior internship record. Candidates who strengthen their applications with completed Kaggle projects, GitHub repositories demonstrating Python proficiency, and any coursework in statistics or linear algebra are consistently more competitive for these cohort slots than those relying on GPA alone.
Where can I find and apply to machine learning intern jobs in District of Columbia?
You can find and apply to machine learning intern jobs in District of Columbia on Migrate Mate, which lists current openings in the area. Search the listings to find roles that fit your background and apply directly to the ones that match your experience and availability.
See All 14 Machine Learning Intern Jobs in District of Columbia
Find roles in District of Columbia that match your experience and apply in just a few clicks.
Find Machine Learning Intern Jobs