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Machine Learning Internship Microsoft Jobs (NOW HIRING)

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we ...

Overview Research Internships at Microsoft provide a dynamic environment for research careers with ... At least 1 year of experience (coursework or project) with Machine Learning and Deep Learning. * At ...

Machine Learning Engineer

Long Beach, CA · On-site

$85K - $180K/yr

Machine Learning Engineer Denver, CO or Long Beach, CA Space is a warfighting domain. True Anomaly ... Internship, research, or project experience applying ML to real-world or research datasets

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Machine Learning Engineer Machina Labs is changing the way manufacturing works. We build ... Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure.

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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 May 28, 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 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.

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? States with the most job openings for Machine Learning Internship Microsoft jobs include:
Infographic showing various Machine Learning Internship Microsoft job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 41% Full Time, 56% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2026 Start (Phd)

ByteDance

San Jose, CA • On-site

Full-time

Posted 29 days ago


Job description

Job Summary:
ByteDance is a global tech company known for its innovative products like TikTok. They are seeking a graduate Machine Learning Engineer to design and implement machine learning algorithms to enhance recommendation systems and improve e-commerce experiences for users.
Responsibilities:
• Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems.
• Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions.
• Deploy and maintain scalable recommendation models for real-time query handling and product suggestions.
• Analyze complex datasets to derive insights that guide strategic decisions.
• Stay up-to-date with the latest machine learning developments, incorporating them into your work.
Qualifications:
Required:
• Master's or PhD degree in Computer Science, Engineering, Operations Research, or related fields.
• Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Thorough understanding of data structures and algorithms, with excellent problem-solving ability.
• Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering.
Preferred:
• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
• Internship experience or research experience, especially in e-commerce, recommendation, search engine.
• Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI.
• Curiosity toward new technologies and entrepreneurship.
• High levels of creativity and quick problem-solving capabilities.
Company:
ByteDance is a technology company that develops content creation platforms and services. Founded in 2012, the company is headquartered in Beijing, CHN, with a team of 10001+ employees. The company is currently Late Stage.