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Machine Learning Internship Microsoft Jobs in Charlottesville, VA

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Machine Learning Internship Microsoft information

See Charlottesville, VA salary details

$25.3K

$42.2K

$87.3K

How much do machine learning internship microsoft jobs pay per year?

As of Aug 26, 2026, the average yearly pay for machine learning internship microsoft in Charlottesville, VA is $42,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

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 Charlottesville, VA?

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

What job categories do people searching Machine Learning Internship Microsoft jobs in Charlottesville, VA look for?

The top searched job categories for Machine Learning Internship Microsoft jobs in Charlottesville, VA are:

What cities near Charlottesville, VA are hiring for Machine Learning Internship Microsoft jobs?

Cities near Charlottesville, VA with the most Machine Learning Internship Microsoft job openings:

Infographic showing various Machine Learning Internship Microsoft job openings in Charlottesville, VA as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $42,245 per year, or $20.3 per hour.

Lecturer and/or Course Designer, Integrate Artificial Intelligence and Machine Learning into Informa

Charlottesville, VA • On-site


University of Virginia
Colleges, Universities, and Professional Schools • 10K+ employees

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

209th of 622 rated colleges and universities

People enjoy working here

Good employer

Recommended by students


Part-time

Re-posted 11 days ago


Job description

This job profile is only for faculty members hired to complete a short-term and/or part-time academic work assignment, such as teaching one or more courses for one or two academic terms. Wage Faculty (Adjunct) may only be paid via Period Activity Pay.
The School of Continuing and Professional Studies (SCPS) , University of Virginia (UVA) seeks applications for one or more non-tenure track, part-time (faculty wage) lecturer position(s) to support the instructional design, (re) development , and delivery of courses in artificial intelligence (AI), machine learning (ML), and applied cloud-based AI technologies as part of Cloud Computing Undergraduate Certificate , Information Technology Undergraduate Certificate , and forthcoming AI and ML coursework .
SCPS is hiring multiple positions to assist in updating existing courses and to develop new courses, with special attention to addressing AI- and ML-related learning outcomes. All courses are delivered in online three-credit courses at either the undergraduate or graduate level.
Responsibilities may include reviewing and updating learning outcomes, aligning and building refreshed or new course content, developing assignments and assessments, supporting hands-on labs, and teaching or co-teaching live online undergraduate and/or graduate course sessions. For lecturer teaching assignments, the ability to lead engaging, interactive sessions online (primarily on Zoom) and in person is essential.
Education Qualifications
Required:
  • A graduate degree (master's degree or higher) in computer science, engineering, data science, information systems, or a closely related field is required .

Preferred:
  • Relevant AI, ML, data science, or cloud certifications (e.g., AWS, Azure, Google Cloud, or equivalent) are preferred.

Experience Qualifications
Required:
  • At least three (3) years of professional experience in artificial intelligence, machine learning, data science, or cloud-based analytics. This includes experience building, deploying, or working with AI/ML models, tools, or workflows.
  • At least two (2) years reaching, training, mentoring, or instructional support experience in technical or professional education settings. This may include e xperience teaching AI, ML, data science , or cloud computing in higher education, professional education, or corporate training environments.

Preferred:
  • Demonstrated willingness to stay current with emerging AI technologies, tools, and teaching strategies.
  • Experience designing hands-on labs, projects, or case studies using platforms such as AWS, Microsoft Azure, Google Cloud, or open-source ML frameworks.

  • Experience with online and/or in-person intensive training or education programs.
  • Proficiency using Canvas or similar learning management systems.

  • Relevant industry certifications and/or professional memberships.

Remote Position
This is a remote position, though preference may be given to individuals in or near Virginia.
To Apply
To apply, please submit an application online at https://jobs.virginia.edu and attach a current CV/Resume, Cover Letter, and the contact information for three references.
Search on requisition number: R0084102.
Directions for Cover Letter
Applicants should be explicit in the cover letter about 1) reason for their interest and 2) how their education and experience aligns with the required and preferred qualifications list above. Organizing the cover letter by the education and experience qualifications would be most helpful.
Additional Information
Questions related to the application process may be directed to Dr. Kai Degner, SCPS Senior Director of Certificate Programs, at kai.degner@virginia.edu.
The University will perform background checks on all new hires prior to employment. This position will also require educational verification.
The job may occasionally require traveling some distance to attend meetings and programs.
Additional Information
Wage Faculty and all personnel actions associated with them are governed and approved by the EVPP and policy PROV-026: Faculty Wage Employment . Faculty wage appointments are subject to change and carry no expectation of renewal from year to year.
Faculty wage employment is usually less than 0.5 FTE (teaching fewer than 6 credits or the equivalent of no more than 19 hours per week); is offered for only one or two semesters at a time; and applies to faculty members paid solely via Period Activity Pay. Wage Faculty (Adjunct) positions are at-will and come with no expectation of renewal, and are not eligible for leave or other benefits.
Because of the significant disciplinary differences between schools, specific employment expectations vary by school and are described in local school policies. Schools may have additional expectations of Wage Faculty who have other documented responsibilities.
Physical requirements of faculty will vary, but may include some or all of the following: traveling to and from work location, other UVA or UVA Health facilities, or to other locations in the U.S. or abroad for meetings or research; using computers, specialized equipment, and other technologies; remaining stationary, moving, bending, lifting, and reaching; performing procedures using fine motor skills; communicating effectively, in writing, in person, in the classroom, online, and in clinical settings; and interacting with others such as colleagues, other academic and medical peers, students, patients, and the public.
Job Profile
J0455 - Wage Faculty (Adjunct)
Career Stream and Level
No Career Stream-No Level
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

Sourced by ZipRecruiter

The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819


What University Of Virginia employees say

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Benefits

Hours and flexibility

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