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Machine Learning Internship Microsoft Jobs in Iowa

Today MSI serves customers in the computer, business machine, medical diagnostics, material ... The internship will provide hands-on learning experiences for students at the company facilities as ...

Today MSI serves customers in the computer, business machine, medical diagnostics, material ... The internship will provide hands-on learning experiences for students at the company facilities as ...

Today MSI serves customers in the computer, business machine, medical diagnostics, material ... The internship will provide hands-on learning experiences for students at the company facilities as ...

Philanthropy Internship

Cedar Rapids, IA ยท On-site

$14.75 - $19.75/hr

Through mentoring, project-based learning, and practical experience, interns will develop ... Proficiency with Microsoft Office * Interest in nonprofit organizations and philanthropy Student ...

Philanthropy Internship

Cedar Rapids, IA

$14.75 - $19.75/hr

Through mentoring, project-based learning, and practical experience, interns will develop ... Proficiency with Microsoft Office * Interest in nonprofit organizations and philanthropy Student ...

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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 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 Iowa?

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

What job categories do people searching Machine Learning Internship Microsoft jobs in Iowa look for?

The top searched job categories for Machine Learning Internship Microsoft jobs in Iowa are:

What cities in Iowa are hiring for Machine Learning Internship Microsoft jobs?

Cities in Iowa with the most Machine Learning Internship Microsoft job openings:

Artificial Intelligence and Machine Learning Intern

MERRILL MFG CO CORP

Storm Lake, IA โ€ข On-site

Internship

Posted yesterday

New


Job description

Description:

ABOUT US

Merrill Manufacturing is North America’s leading manufacturer of parts and accessories to the water well and water system industries. We are a family-owned company known for our incredible service, quality products, and diverse selection. Our values guide everything we do. Our team at Merrill strives to do the right thing, shares our passion for all we do, has a can-do, will-do attitude, thinks of we before me, and is willing to solve problems together.

JOB SUMMARY

The Artificial Intelligence and Machine Learning intern will have hands-on experience with implementing, deploying, and configurating AI software across the company. The intern will evaluate the strengths and weaknesses of various AI/ML tools, and the opportunities and threats that could be posed by their implementation. The intern will work with multiple team members to develop guidelines and best practice trainings for the use of these applications across the company.


LEARNING GOALS, RESPONSIBILITIES, AND DUTIES

  • Research and deploy AI/ML tools for company use
  • Configure platform specific AI/ML tools offered by various enterprise software platforms
  • Assist in cross-departmental AI/ML initiatives for use in the manufacturing industry
  • Monitor current AI/ML knowledge, trends, and regulations
  • Collaborate with team members to brainstorm new ideas and explore potential applications of AI
  • Organize and present a comprehensive presentation upon completion of projects and research to leadership
  • Perform other job duties as assigned by supervisor



Requirements:


QUALIFICATIONS AND EDUCATION REQUIREMENTS

Must be a sophomore or higher pursuing a bachelor’s degree in computer science, data science, information systems, management information systems, software engineering, or related degree.


PREFERRED SKILLS AND EXPECTATIONS

Academic or professional/internship experience working in a professional setting is a plus but not required.

Ability to work independently on assigned tasks and accepts direction on given assignments

Enthusiasm for technical problem solving with attention to detail and strong communication skills

Ability to learn and research in a dynamic and engaging environment Effective communication skills with the ability to interact with various levels within the organization.

Excellent problem solving and critical thinking skills.


PHYSICAL DEMANDS

This position requires the ability to sit and stand constantly, as well as occasionally move between sitting and standing positions. Regular use of a keyboard is essential.


WORKING CONDITIONS

This position requires the ability to work indoors constantly. The employee will occasionally be exposed to heavy machinery and loud noise levels.


ADDITIONAL NOTES

Must have the right to legally work in the United States.

Must have transportation to and from work. Housing offered if needed.


EEO STATEMENT

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.


DISCLAIMER

The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions.