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Machine Learning Internship Microsoft Jobs (NOW HIRING)

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Internship, academic project, or personal project experience in machine learning * Familiarity with Git and version control * Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic ...

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

Interns work alongside AV team members on meaningful projects involving cutting-edge technology ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

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Machine Learning Internship Microsoft information

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$25.5K

$42.6K

$88K

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

As of Sep 8, 2026, the average yearly pay for machine learning internship microsoft in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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.

More about Machine Learning Internship Microsoft jobs

What cities are hiring for Machine Learning Internship Microsoft jobs?

Cities with the most Machine Learning Internship Microsoft job openings:

What states have the most Machine Learning Internship Microsoft jobs?

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What other helpful pages are available for Machine Learning Internship Microsoft?

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Infographic showing various Machine Learning Internship Microsoft job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Flexjet LLC

Cleveland, OH • On-site

$60 - $80/hr

Other

Re-posted 3 days ago


Flexjet rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

22nd of 68 rated aviation services


Job description

Current job opportunities are posted here as they become available.


Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their career who is eager to develop hands-on experience with real-world ML systems.


DUTIES & RESPONSIBILITIES

  • Assist in developing and training machine learning models

  • Support the creation and maintenance of data pipelines

  • Help deploy ML models into production under guidance

  • Clean, preprocess, and analyze datasets for model training

  • Collaborate with team members to solve business problems using data

  • Monitor model performance and help troubleshoot issues

  • Document code, processes, and model behavior


REQUIRED SKILLS & QUALIFICATIONS

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)

  • Basic proficiency in Python

  • Familiarity with machine learning concepts (regression, classification, clustering)

  • Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)

  • Understanding of data structures and algorithms fundamentals

  • Basic knowledge of SQL and data handling


PREFERRED QUALIFICATIONS

  • Internship, academic project, or personal project experience in machine learning

  • Familiarity with Git and version control

  • Exposure to cloud platforms (AWS, Azure, or Google Cloud)

  • Basic understanding of APIs or web services

  • Experience with data visualization tools (e.g., Matplotlib, Seaborn)

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What Flexjet employees say

Pay

Benefits

Hours and flexibility

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