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Machine Learning Internship Microsoft Jobs in Columbia, SC

Sales Associate

Columbia, SC ยท On-site

$13 - $17.50/hr

The associate is the liaison between the service learning interns and work study students. The ... Proficient in Microsoft and Google applications * Initiative to take on responsibilities and ...

AI Engineer

Columbia, SC ยท On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

New

Stoploss Coordinator

Columbia, SC ยท Remote

$50K - $80K/yr

... learning and machine learning to maximize population health outcomes with the greatest cost ... Advanced skills with Microsoft Office products including MS Word, MS Excel or equivalent * Pleasant ...

US Tech - AI Engineering Manager

Columbia, SC ยท On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams delivering cloud ...

Those in artificial intelligence and machine learning at PwC will focus on developing and ... Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake ...

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Machine Learning Internship Microsoft information

See Columbia, SC salary details

$23.6K

$39.4K

$81.4K

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

As of Jul 30, 2026, the average yearly pay for machine learning internship microsoft in Columbia, SC is $39,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 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 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 Columbia, SC? For Machine Learning Internship Microsoft jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Internship Microsoft jobs in Columbia, SC look for? The top searched job categories for Machine Learning Internship Microsoft jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Machine Learning Internship Microsoft jobs? Cities near Columbia, SC with the most Machine Learning Internship Microsoft job openings:

Sales Associate

Benedict College

Columbia, SC โ€ข On-site

$13 - $17.50/hr

Other

Posted 8 days ago


Job description

The function of the Retail Store Associate is to provide daily support of the retail marketplace operations with the responsibility of opening and closing the retail store consistent with normal hours of operation. Assisting the customers with merchandise selections and answering general customer service questions. The associate is the liaison between the service learning interns and work study students. The store associate will oversee and perform all cashier and inventory aspects of the store using the POS Nation Software system.
  • High school diploma or GED
  • Retail and cashier experience.
  • Must always maintain professional decorum
  • Strong written and verbal communication skills
  • Proficient in Microsoft and Google applications
  • Initiative to take on responsibilities and challenges
  • Reliable, responsible, and dependable in fulfilling store regulations and rules
  • Analytical thinking- able to analyze information and using logic to address work related issues and problems
  • Attention to detail - internship requires being careful about a high level of detail and thorough in completing tasks