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Machine Learning Internship Microsoft Jobs in Iowa

Align Technology, Inc.

Microsoft Power BI Certification would be a strong plus. * Advanced proficiency in Microsoft Excel ... Exposure to data modeling, statistical methods, and machine learning techniques. * Experience ...

Emerson

Senior, Analytics Analyst

Marshalltown, IA

Proficiency with Python, Microsoft Excel, Power BI, and Microsoft Fabric. * Demonstrated ability to ... Experience with AI and machine learning tools or data quality automation solutions. * Knowledge of ...

Kwik Trip, Inc.

Retail Management Intern #286

Waverly, IA · On-site

$15.90 - $22.26/hr

Possess high aptitude for learning a variety of tasks Knowledgeable with Microsoft Office products ... Internship hours may vary with workload but interested students must be willing to work a minimum ...

Emerson Group

Senior, Analytics Analyst

Marshalltown, IA · On-site

Proficiency with Python, Microsoft Excel, Power BI, and Microsoft Fabric. * Demonstrated ability to ... Experience with AI and machine learning tools or data quality automation solutions. * Knowledge of ...

Kwik Trip, Inc.

Retail Management Intern #1154

Sheldon, IA · On-site

$16.99 - $23.79/hr

Possess high aptitude for learning a variety of tasks Knowledgeable with Microsoft Office products ... Internship hours may vary with workload but interested students must be willing to work a minimum ...

CF Industries

Quality Control Coordinator

Sergeant Bluff, IA

$20.25 - $27.75/hr

Proficient with Microsoft Office tools including Word, Excel, PowerPoint and Outlook. * Works in a ... machine learning technologies, to assist recruiters in identifying and prioritizing candidates ...

CF Industries

Quality Control Coordinator

Sergeant Bluff, IA · On-site

$20.25 - $27.75/hr

Proficient with Microsoft Office tools including Word, Excel, PowerPoint and Outlook. * Works in a ... machine learning technologies, to assist recruiters in identifying and prioritizing candidates ...

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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.
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Machine Learning Internship Microsoft jobs near you
Graduate Assistant Health and Human Performance (Data Science in Human Performance; Part-time)

Graduate Assistant Health and Human Performance (Data Science in Human Performance; Part-time)

Wartburg College

Waverly, IA

$34K - $44K/yr

Part-time

Re-posted 27 days ago

Job description

Wartburg College
Title of Position - Graduate Assistant Health and Human Performance (Data Science in Human Performance; Part-time)

Wartburg College is dedicated to challenging and nurturing students for lives of leadership and service as a spirited expression of their faith and learning. Founded in 1852, Wartburg College is a selective liberal arts college internationally recognized for its community engagement and academic excellence.
The institution is at an exciting moment as it embarks upon “Our Brightest Days: Realizing Purpose, Leading Change,” the College’s new strategic plan. As indicated in the newly adopted vision statement, “Wartburg College is called to be the leading institution in education of the whole person. Together, we create an inclusive community combining diverse curricular and co- curricular experiences to prepare students to be resilient leaders of positive change through service in a complex world.”
Principle Duties and Responsibilities:
1. Data Architecture amp; Cleaning
  • Audit and organize legacy data from past seasons to ensure consistency across different platforms and formats.
  • Build a unified system of data lake that connects various streams for longitudinal analysis.
  • Establish protocols for cleaning dirty data and identifying outliers in current daily collection.
  • Utilize machine learning or statistical modeling to identify trends in athlete fatigue, injury risk markers, or performance peaking.
  • Cross-reference physical performance data with other variables (e.g., game stats, sleep data, or academic load) to provide a holistic view of the student-athlete.
2. Data Management amp; Analysis
  • Lead the daily collection and cleaning of performance data.
  • Create visualization reports (dashboards) for the Director and Coaching staff to track athlete readiness, fatigue, and long-term development.
  • Assist the Program Director in gathering data for internal research or program-wide performance audits.
3. Administrative amp; Academic Support
  • Manage scheduling for the performance facility and assist with the maintenance and calibration of sport science equipment.
  • Serve as a peer-leader for undergraduate interns or student workers within the health and human performance department.
  • Assist the graduate studies faculty and staff with recruitment and outreach events.
Minimum Requirements:
  • Requires a bachelor’s degree in Exercise Science, Kinesiology, Data Science, Statistics, or related field.
  • Must be enrolled in the prescribed MS in Data Science in Human Performance courses each term.
  • Requires relevant experience with data software (e.g., excel, R, SPSS, JASP, Python) and familiarity with common human performance technologies.
  • Requires clear communication skills and desire to work with college-age students.
  • Candidate must have excellent project management skills, including flexibility, problem solving and leadership development skills.
  • Must maintain an overall grade point average of 3.00 while in the GA program.
  • Must meet the eligibility requirements for employment within the United States.
  • Must successfully complete a background screening.
Application Procedure:
Please upload the following by selecting the “Apply for this Position” below: 1) resume 2) a letter of interest including a statement regarding qualities within the context of the Wartburg College mission 3) contact information for three references.
For specific inquiries contact cameron.mackey@wartburg.edu. Please note before an offer of a graduate assistantship can be extended, a student needs to be fully admitted to the Master of Science in Data Science in Human Performance. Application information can be found here and questions regarding the application can be sent to gradstudies@wartburg.edu. See www.wartburg.edu for further information about the college. Screening begins immediately and continues until the position is filled.

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