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Machine Learning Internship Microsoft Jobs in Washington

Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop essential skills in the manufacturing industry. As a Machine Learning Intern at Xometry, you'll ...

... internships, or real-world projects involving applied machine learning. #LI-WA1 #LI-HYBRID ... Compensation Employee Type: Salaried Currency: USD Salary Minimum: 130,000 Salary Maximum: 155,000 ...

... internships, or real-world projects involving applied machine learning. #LI-WA1 #LI-HYBRID ... Compensation Employee Type: Salaried Currency: USD Salary Minimum: 130,000 Salary Maximum: 155,000 ...

Senior Machine Learning Engineer

Mclean, VA · On-site

$105.60K - $145.10K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... At least 4 years of experience programming with Python, Scala, or Java (Internship experience does ...

Senior Machine Learning Engineer

Mclean, VA · On-site +1

$105.60K - $145.10K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... At least 4 years of experience programming with Python, Scala, or Java (Internship experience does ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/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 ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/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 ...

Lead Machine Learning Engineer

Mclean, VA · On-site

$103.60K - $136.50K/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 ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.90K - $136.80K/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 ...

Lead Machine Learning Engineer

Mclean, VA · On-site

$103.60K - $136.50K/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 ...

Lead Machine Learning Engineer

Mclean, VA · On-site

$103.60K - $136.50K/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 ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/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 ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/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 ...

Lead Machine Learning Engineer

Fort Belvoir, VA · On-site

$115.90K - $152.70K/yr

Role: Lead Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option ... Internship experience does not apply) * Proven track record in designing, building, and/or ...

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Machine Learning Internship Microsoft information

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 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 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 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 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 Intern

Machine Learning Intern

Xometry

North Bethesda, MD • Hybrid

$27/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Are you a driven college student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop essential skills in the manufacturing industry.

As a Machine Learning Intern at Xometry, you'll work on real-world projects that directly impact our AI-driven solutions, collaborate with experienced machine learning engineers, and learn how to build and deploy models that solve complex problems in a dynamic and fast-paced environment.

What You'll Do:

  • Design, build, and optimize machine learning models to enhance Xometry's platform and business operations.
  • Analyze large datasets to extract meaningful patterns and insights.
  • Collaborate with cross-functional teams to integrate machine learning models into production systems.
  • Learn and apply best practices in model evaluation, performance tuning, and deployment.
  • Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

What We Offer:

  • Mentorship: Learn from experienced professionals and receive guidance from a dedicated intern captain.
  • Dynamic Culture: Embrace a fast-paced, collaborative environment that values innovation and flexibility.
  • Professional Development: Gain practical skills in digital marketing, social media, content marketing, and more.

What We're Looking For:

  • Academic Excellence: Currently enrolled in an accredited college or university, graduating in December 2026 or May 2027, with a minimum 3.5 GPA.
  • Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 8 - August 14, 2026).
  • Excellent Communication Skills: Strong verbal and written communication skills.
  • Entrepreneurial Spirit: A passion for problem-solving and a desire to drive results.
  • Legal Authorization: Ability to provide proof of legal right to work in the United States.
  • Location Requirement: Ability to commute to our North Bethesda, MD or Waltham, MA office to work onsite for at least 3 days a week.
  • Provide Unofficial Transcript

The estimated base pay rate for new hires into this role is $27.00 per hour depending on factors such as job-related skills, relevant experience, and location. This is a temporary position.

#LI-Hybrid


Xometry logo

About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013