ZipRecruiter

Log In

1

Machine Learning Internship Microsoft Jobs in Washington

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer (IC)

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Sr. Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Crowe LLP

Machine Learning Engineer

Washington, DC · On-site

$62K - $100K/yr

Knowledge of prompt engineering and retrieval augmented generation (RAG) and experience with advanced AI tools such as ChatGPT Enterprise and Microsoft Copilot, Azure AI Foundry. * Experience in fine ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Microsoft JobsMachine Learning Internship Microsoft JobsMachine Learning Internship Microsoft Jobs in Washington

Machine Learning Internship Microsoft information

What is a machine learning internship at Microsoft?

A Machine Learning Internship at Microsoft is a temporary position for students or recent graduates to gain hands-on experience working on real-world machine learning projects. Interns collaborate with experienced engineers and researchers to develop, test, and deploy machine learning models and solutions that impact Microsoft products and services. The internship typically involves working with large datasets, implementing algorithms, and contributing to team goals while learning about cutting-edge AI technologies. Interns also benefit from mentorship, networking opportunities, and exposure to the latest industry practices.

What types of projects do interns typically work on during a machine learning internship at Microsoft?

As a Machine Learning intern at Microsoft, you can expect to work on impactful, real-world projects that contribute to ongoing products or research initiatives. Interns often collaborate with data scientists, software engineers, and product teams to develop, test, and refine machine learning models for applications such as natural language processing, computer vision, or recommendation systems. You'll likely participate in code reviews, present your findings, and receive mentorship from experienced professionals, all within a collaborative and innovative environment. These projects not only enhance technical skills but also provide valuable exposure to large-scale, industry-leading systems.

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

To thrive as a Machine Learning Intern at Microsoft, you need a solid foundation in mathematics, programming (especially Python), and machine learning concepts, typically supported by coursework or related projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like Azure are often expected. Strong problem-solving skills, curiosity, and effective communication help you collaborate with team members and present findings. These skills are crucial for contributing to innovative projects and translating complex data-driven insights into impactful solutions within a dynamic tech environment.

What is the difference between Machine Learning Internship Microsoft vs Data Science Internship Microsoft?

AspectMachine Learning Internship MicrosoftData Science Internship Microsoft
Required SkillsProgramming, ML algorithms, Python, TensorFlowStatistics, data analysis, Python, SQL
Work EnvironmentResearch and development teams focused on ML modelsData analysis and visualization teams
Industry UsageAI and ML product developmentBusiness insights and data-driven decision making

Both internships are highly competitive roles at Microsoft, often requiring programming skills and relevant coursework. Machine Learning Internships focus on developing and deploying ML models, while Data Science Internships emphasize analyzing data to generate insights. Candidates should review the specific role descriptions to align their skills accordingly.

What are popular job titles related to Machine Learning Internship Microsoft jobs in Washington?

For Machine Learning Internship Microsoft jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Machine Learning Internship Microsoft jobs in Washington look for?

The top searched job categories for Machine Learning Internship Microsoft jobs in Washington are:

What cities in Washington are hiring for Machine Learning Internship Microsoft jobs?

Cities in Washington with the most Machine Learning Internship Microsoft job openings:

Machine Learning Internship Microsoft jobs near you

Artificial Intelligence/Machine Learning Engineer, Junior

EverWatch

Annapolis Junction, MD • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions. The AI/ML Engineer will develop and deploy artificial intelligence and machine learning solutions to enhance operational workflows and support decision-making in secure environments.
Responsibilities:
• Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security.
• As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.
• You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities.
• Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.
• You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments.
• Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.
Qualifications:
Required:
• 1-4 years of experience with Python for data analysis and machine learning tasks through academic, internship, or project-based work
• Knowledge of machine learning concepts including supervised learning, model evaluation, and data preprocessing
• Familiarity with standard data science libraries and development tools
• Ability to think analytically, solve problems effectively, and learn quickly in a fast-paced, mission-oriented environment
• Ability to collaborate within a team and communicate technical concepts clearly
• TS/SCI clearance with a polygraph
• Bachelor’s degree in computer science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field or master’s degree with limited experience
Preferred:
• Experience with academic coursework, thesis work, or capstone projects involving machine learning, natural language processing, or data science applications
• Experience with version control tools such as Git and collaborative development environments
• Knowledge of deep learning frameworks such as PyTorch or TensorFlow
• Knowledge of large language models (LLMs) and generative AI concepts
• Knowledge of cloud platforms such as AWS, Azure, or GCP
• Knowledge of containerization technologies such as Docker or Kubernetes
• Knowledge of agentic AI, retrieval-augmented generation (RAG), or other applied NLP techniques
• Prior internship, co-op, research, or project experience supporting government, defense, or intelligence community environments
Company:
EverWatch focuses on in-house investment management. Founded in 1999, the company is headquartered in West Palm Beach, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply