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Machine Learning Internship Microsoft Jobs in Hampton, GA

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Get Engaged

Internship

Atlanta, GA · On-site

$14.50 - $19.25/hr

An internship with Get Engaged Media provides students with practical experience in an agency ... learning more about the Snapchat Discover, Snapchat Midroll, Facebook, Spotify, Microsoft and ...

Deloitte

Finance Analytics & AI Senior Consultant

Atlanta, GA · On-site

$112K/yr

... machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments * Experience architecting generative and agentic ...

Crew Career Center

Data Scientist

Atlanta, GA · On-site

Complete familiarity with various statistical and machine learning techniquesincluding ... Proficient in Microsoft Office applications * Detail-oriented * Master of Science degree or higher ...

Deloitte

Finance Analytics & AI Senior Consultant

Atlanta, GA · On-site

$112K/yr

... machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments * Experience architecting generative and agentic ...

Deloitte

Finance Analytics & AI Senior Consultant

Atlanta, GA · On-site

$112K/yr

... machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments * Experience architecting generative and agentic ...

Deloitte

Finance Analytics & AI Senior Consultant

Atlanta, GA · On-site

$112K/yr

... machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments * Experience architecting generative and agentic ...

Patientco

Data Scientist

Atlanta, GA · On-site

Complete familiarity with various statistical and machine learning techniquesincluding ... Proficient in Microsoft Office applications * Detail-oriented * Master of Science degree or higher ...

Dolby

Senior Generative AI Researcher

Atlanta, GA · On-site

Mentor interns on novel research problems. * Publish papers in top-tier conferences and journals ... Deep knowledge on current machine learning literature. * Strong publication record, with ...

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Hands-on experience using Microsoft SQL Servers, Visual Studio, SQL Server Analysis Services (SSAS ... Spark, PySpark, Apache NiFi, RServer Studio, Alteryx, Azure Machine Learning, Kubernetes, Apache ...

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All JobsMachine Learning Microsoft JobsMachine Learning Internship Microsoft JobsMachine Learning Internship Microsoft Jobs in Hampton, GA

Machine Learning Internship Microsoft information

See Hampton, GA salary details

$25K

$41.7K

$86.2K

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

As of Aug 13, 2026, the average yearly pay for machine learning internship microsoft in Hampton, GA is $41,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 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 cities near Hampton, GA are hiring for Machine Learning Internship Microsoft jobs?

Cities near Hampton, GA 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 Hampton, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,688 per year, or $20 per hour.

Data Scientist

Revenue Analytics

Atlanta, GA • On-site, Remote

$95K - $110K/yr

Full-time

Re-posted 20 days ago

Job description

Data Scientist
Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.
Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.
This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.
As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.
What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.

$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
Visa sponsorship is not available for this role. Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

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