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Machine Learning Internship Microsoft Jobs in Lansing, MI

Technical Trainer

Lansing, MI ยท On-site

$33 - $43.75/hr

Participates in new teammate hiring process - assesses candidates' skills (general and/ or machine ... Knowledge of Learning Management Systems preferred * Microsoft Office Experience Preferred- Word ...

Technical Trainer

Lansing, MI ยท On-site

$33 - $43.75/hr

Participates in new teammate hiring process - assesses candidates' skills (general and/ or machine ... Knowledge of Learning Management Systems preferred * Microsoft Office Experience Preferred- Word ...

Marketing and Growth Assistant

Lansing, MI ยท On-site

$43K - $50K/yr

This is a hands-on role with the opportunity to work across many areas of marketing while learning ... Relevant internship experience is welcomed. * General understanding of traditional and digital ...

New

Precision control: able to adjust machines to exact positions * Stoop to a considerable degree and ... Proficiency in Microsoft Office Suite (Outlook, Excel, Word, PowerPoint, etc.) * Once state ...

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Machine Learning Internship Microsoft information

See Lansing, MI salary details

$25.9K

$43.2K

$89.3K

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

As of Aug 23, 2026, the average yearly pay for machine learning internship microsoft in Lansing, MI is $43,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 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 Lansing, MI?

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

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The top searched job categories for Machine Learning Internship Microsoft jobs in Lansing, MI are:

What cities near Lansing, MI are hiring for Machine Learning Internship Microsoft jobs?

Cities near Lansing, MI with the most Machine Learning Internship Microsoft job openings:

Wealth Management Summer 2027 Internship

Waggoner Financial

Lansing, MI โ€ข On-site

$18 - $23.50/hr

Full-time, Temporary, Internship

Retirement

Posted 10 days ago


Job description

  • Assist advisors with client meeting preparation, including agenda building, portfolio review materials, and research support.
  • Support data entry and maintenance within CRM and portfolio management systems.
  • Help prepare financial planning materials, including retirement projections, cash flow summaries, and benefits comparisons.
  • Conduct research on investment products, market trends, and planning strategies under advisor supervision.
  • Assist with client onboarding documentation and account paperwork.
  • Attend client meetings as appropriate to observe advisor-client interaction.

Requirements

  • Currently pursuing a bachelor's degree in Finance, Economics, Accounting, or a related field; rising junior or senior preferred.
  • Strong interest in financial planning, wealth management, or the CFP® path.
  • Proficiency in Microsoft Excel and Word; comfort learning new software platforms.
  • Strong written and verbal communication skills.
  • High attention to detail and ability to handle sensitive client information with discretion.
  • Ability to work independently and manage multiple tasks in a fast-paced office environment.

Benefits

  • Direct mentorship from CFP® professionals, including advisor shadowing and client meeting exposure.
  • Hands-on experience with real planning work: retirement projections, benefits analysis, and portfolio review materials.
  • Competitive hourly pay.
  • Flexible scheduling around class commitments.
  • Small-firm environment with direct access to senior advisors and leadership.
  • Potential path to a full-time offer upon graduation.