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Machine Learning Internship Microsoft Jobs in Wisconsin

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon Redshift, Microsoft Synapse, or similar. * Strong applied knowledge of machine learning and ...

Deloitte

Microsoft D365 F&O SCM Manager

Milwaukee, WI · On-site

We modernize their supply chains using artificial intelligence, machine learning and connected ... Microsoft D365 F&O and Infor. We're here to help transform finance and supply-chain processes ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

Design, build, deploy, and maintain enterprise AI and machine learning solutions. * Develop and ... Experience with Microsoft Copilot, Azure OpenAI, or enterprise generative AI platforms.

Springs Window Fashions

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

Design, build, deploy, and maintain enterprise AI and machine learning solutions. * Develop and ... Experience with Microsoft Copilot, Azure OpenAI, or enterprise generative AI platforms.

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

Design, build, deploy, and maintain enterprise AI and machine learning solutions. * Develop and ... Experience with Microsoft Copilot, Azure OpenAI, or enterprise generative AI platforms.

Qualysoft

... Betrieb skalierbarer Machine-Learning- und LLM-Losungen auf Azure Databricks von der ... Microsoft-Okosystem. 520 - 560 a day Rahmenbedingungen Start: Marz/April 2026 Laufzeit: 3 Jahre ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI

$86K - $108K/yr

Additional duties include leading advanced analytics projects with machine learning and AI for ... Certification in data analytics or platforms (e.g., Google Data Analytics, Microsoft Certified:

Bechtle

$50.50 - $69.25/hr

... mit Microsoft Azure AI Services (OpenAI, AI Foundry, Cognitive Services, Document Intelligence) * Erfahrung in der Umsetzung von Machine- und Deep-Learning-Projekten im Unternehmensumfeld

Trilliant Food & Nutrition

Days Machine Operator

Neenah, WI · On-site

$17.50 - $20.75/hr

... passion for learning about coffee manufacturing Strong general mechanical abilities and ... Microsoft Excel High School diploma or GED preferred. Post-secondary education is a plus. Hours ...

Milwaukee Tool

Controls Engineer

Menomonee Falls, WI · On-site

$83K - $108K/yr

... systems, machine learning, and AI-enabled manufacturing. This role partners with engineering ... Advanced skills with Microsoft Office, Microsoft Project, Power BI, Visio, or similar project ...

Milwaukee Tool

Controls Engineer

Menomonee Falls, WI

$83K - $108K/yr

... systems, machine learning, and AI-enabled manufacturing. This role partners with engineering ... Advanced skills with Microsoft Office, Microsoft Project, Power BI, Visio, or similar project ...

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Machine Learning Internship Microsoft information

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 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 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 are popular job titles related to Machine Learning Internship Microsoft jobs in Wisconsin? For Machine Learning Internship Microsoft jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Machine Learning Internship Microsoft jobs in Wisconsin look for? The top searched job categories for Machine Learning Internship Microsoft jobs in Wisconsin are:
What cities in Wisconsin are hiring for Machine Learning Internship Microsoft jobs? Cities in Wisconsin with the most Machine Learning Internship Microsoft job openings:
Machine Learning Internship Microsoft jobs near you
Infographic showing various Machine Learning Internship Microsoft job openings in Wisconsin as of July 2026, with employment types broken down into 7% Internship, 1% As Needed, 69% Full Time, 20% Part Time, 2% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.
Artificial Intelligence Engineer III

Artificial Intelligence Engineer III

Insperity

Madison, WI • On-site

$58 - $77.75/hr

Full-time

Medical, Dental, Vision, PTO

Posted 10 days ago

Insperity rating

7.8

Company rating: 7.8 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

126th of 442 rated business services

Job description

Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide.
Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen.
We've earned recognition time and again as a top place to work-named among the best by respected organizations like Glassdoor and U.S. News & World Report. We're also proud to be recognized for one of the country's Top 50 Midsize Early Talent Programs through RippleMatch's Campus Forward Awards. There's never been a better time to be part of Insperity, and our best work is still ahead. Learn more at Insperity.com.
Why Insperity?
Flexibility: Over 80% of Insperity's jobs have flexibility. We want your time to have balance, whether it's spent with coworkers, clients, family or your community.
Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.
Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work.
We are seeking an Artificial Intelligence Engineer III to join our team
Summary:
This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence systems that address ambiguous and high impact business problems. This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The AI Engineer III operates with a high degree of autonomy, making architectural and technical decisions while ensuring solutions are reliable, measurable, secure, and aligned with enterprise AI standards.
Responsibilities:
  • Designs and owns end-to-end AI solutions, including LLM-based applications, classical machine learning models, and hybrid approaches.
  • Builds and operates complex AI systems such as agentic workflows, retrieval-augmented generation (RAG) platforms, and decision-support solutions.
  • Evaluates ambiguous business problems and determines appropriate AI patterns, modeling techniques, and system architectures.
  • Defines and implements evaluation strategies, metrics, and feedback loops to measure model effectiveness and business impact.
  • Leads the development of data pipelines, feature strategies, and evaluation datasets required to support AI systems.
  • Owns production readiness, including performance, reliability, cost, observability, and failure handling.
  • Identifies and mitigates risks related to bias, hallucination, data leakage, and unintended AI behavior.
  • Collaborates cross-functionally with product management, platform teams, and stakeholders to guide solution design and delivery.
  • Mentors and provides technical guidance to other team members.
  • Contributes to the establishment and evolution of AI engineering standards, patterns, and best practices.

Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience.
  • Five or more years of professional experience spanning software engineering, data science, machine learning engineering, or AI system development.
  • Advanced proficiency in software engineering, including Python, APIs, testing, and system design.
  • Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon Redshift, Microsoft Synapse, or similar.
  • Strong applied knowledge of machine learning and artificial intelligence concepts, evaluation techniques, and failure modes.
  • Hands-on experience designing, building, and deploying LLM based systems using enterprise grade platforms and frameworks.
  • Experience with one or more AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
  • Deep understanding of data quality, feature relevance, and model behavior across structured and unstructured data.
  • Experience deploying, monitoring, and iterating on AI systems in production environments.
  • Ability to make and defend technical tradeoff decisions balancing accuracy, cost, risk, and scalability.
  • Strong communication and leadership skills, with the ability to influence technical direction and mentor others.

This job specification should not be construed to imply that these requirements are the exclusive standards of the position. Incumbent will follow any other instructions, and perform any other related duties, as may be required by the supervisor.
At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

What Insperity employees say

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Hours and flexibility

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About Insperity

Sourced by ZipRecruiter

Take care of your people Insperity has a long history of improving the success equation of small and midsize businesses across the country – because when businesses succeed, communities prosper. And in today’s changing business environment, it’s our privilege to take care of an organization’s most valuable asset: its people.

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

Year founded

1986

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