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Machine Learning Internship Microsoft Jobs in Oregon

$55.75 - $74.50/hr

On the AI side, you'll bring Microsoft Copilot Studio, Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Cognitive Search, and Azure Machine Learning into production solutions building agentic ...

Data Scientist

OR · On-site +1

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional ...

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... maintain machine learning models and AI services used in production environments • Design and ... Microsoft Fabric • Familiarity with MLOps practices including model monitoring, versioning, and ...

This is more than an internship; it's the foundation for a career built on connection, creativity ... Experience with artificial intelligence and machine learning * Strong communication and teamwork ...

New

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

Extract insights from structured and unstructured data using machine learning, coding techniques ... internship experiences. Minimum Qualifications: * Bachelor's degree in Engineering, Physical ...

... vision, machine learning, and deep learning. Assists in implementing and tuning models for ... Available to work part-time for 6-12 months and to work onsite for the duration of the internship ...

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Microsoft Azure, or Google Cloud Platform * Experience with LangChain, LangGraph, NVIDIA NIM, or ...

Showing results 21-40

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 Oregon?

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

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

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

Infographic showing various Machine Learning Internship Microsoft job openings in Oregon 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.

$55.75 - $74.50/hr

Full-time

Retirement, PTO

Re-posted yesterday


Genpact rating

6.3

Company rating: 6.3 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

182nd of 224 rated it services


Job description

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world's leading enterprises.

This posting is for a position within the Experience unit at Genpact.  Experience is Genpact’s capability for designing and improving the platforms, interactions and journeys employees and customers use every day. With deep expertise across leading platforms like Adobe, Microsoft, Sitecore, and Optimizely, we unite strategy, human-centered design, engineering and AI inside core enterprise systems, so experiences don’t just look better, they perform better, drive adoption and turn advanced technology into measurable business outcomes at scale.

Our Commitment to YOU

No matter who you are, where you come from, who you love, what you believe, or what you get excited about, we bring people together to make phenomenal work. That’s what makes us Genpact!

***Please note- This opportunity is not open to any agencies or those candidates that require any form of work authorization.***


The Opportunity

We’re looking for an Enterprise Cloud & AI Software Engineer to build and scale enterprise-grade cloud solutions across the Microsoft ecosystem for Genpact Experience. This is a full-stack engineering role centered on Azure and the .NET/C# stack as a foundation, extending into the middleware, API, and integration layer that connects modern front-end experiences such as Next.js and React web apps, or native mobile applications.

You’ll design and build integrations across a broad enterprise landscape: CMS/DXP platforms, Salesforce, SharePoint, Microsoft 365, and Microsoft Graph, alongside SQL and document databases and Microsoft Fabric for data and analytics. On the AI side, you’ll bring Microsoft Copilot Studio, Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Cognitive Search, and Azure Machine Learning into production solutions building agentic and generative AI capabilities directly into the platforms our clients rely on every day.

If you’re a builder who’s equally comfortable architecting a resilient Azure backend, wiring up an integration layer across a dozen enterprise systems, and shipping practical AI features that make a real difference for end users, this is your role.

What You’ll Do:

•          Design, build, and operate cloud-based solutions on Microsoft Azure using .NET/C# as the primary foundation, applying sound architecture, design patterns, and engineering best practices.

•          Build and maintain the middleware, API, and integration layer connecting backend services to modern front-ends (Next.js, React) and native mobile applications.

•          Integrate enterprise backend systems including CMS/DXP platforms, Salesforce, SharePoint, Microsoft 365, and Microsoft Graph, ensuring secure, reliable data flow across the ecosystem.

•          Work with SQL and document databases (Cosmos DB and similar) and Microsoft Fabric to design data models and pipelines that support both application and analytics needs.

•          Design and implement AI-powered features and agentic experiences using Microsoft Copilot Studio, Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Cognitive Search, and Azure Machine Learning.

•          Architect solutions for performance, security, and scale applying sound patterns for authentication/authorization, caching, messaging, and resilient service-to-service communication.

•          Own CI/CD pipelines and DevOps practices using Azure DevOps and GitHub Actions, driving automated build, test, and deployment across environments.

•          Use AI-driven development tools (GitHub Copilot, Claude, Codex) to accelerate delivery, prototype faster, and raise the bar on code quality across the team.

•          Partner with front-end and mobile engineers to define clean API contracts and shared data models that keep client and server in sync as products evolve.

•          Serve as a technical lead on client engagements, translating business requirements into pragmatic architecture and mentoring developers through code reviews and hands-on guidance.

•          Collaborate with architects across the Experience practice (DXP, Modern Workplace) to ensure backend and integration decisions align with the broader platform strategy.

•          Contribute to Genpact Experience’s engineering practice through reusable accelerators, internal tooling, and documentation that raise delivery quality across engagements.

What we’d like to see:

•          8+ years of professional software development experience, with deep expertise in .NET/C# and Microsoft Azure as a foundation.

•          Proven experience designing and building middleware, APIs, and integration layers connecting backend systems to modern front-end and mobile applications.

•          Hands-on experience integrating enterprise platforms such as CMS/DXP systems, Salesforce, SharePoint/M365, or Microsoft Graph.

•          Experience working with relational (SQL Server) and document/NoSQL databases (Cosmos DB or similar), and familiarity with Microsoft Fabric for data and analytics.

•          Practical experience building AI-powered features using Azure OpenAI, Azure AI Search, Azure Cognitive Search, Azure Machine Learning, or Microsoft Copilot Studio/Foundry.

•          Solid understanding of cloud architecture patterns: microservices, event-driven design, caching, messaging, and secure API design.

•          Experience with CI/CD and DevOps practices using Azure DevOps and/or GitHub Actions.

•          Comfort using AI-assisted development tools (GitHub Copilot, Claude, Codex) as part of the daily engineering workflow.

•          Strong communication skills, with the ability to work directly with clients and cross-functional teams and to mentor other developers.

•          Prior experience in consulting, agency, or multi-client delivery environments is a plus.

The Impact You’ll Make:

At Genpact Experience, we leverage design and product thinking to solve our clients’ most complex challenges using the best tools available. When you join us, you’ll work across a broad variety of exciting industries including financial services, healthcare, legal, and retail. You won’t just wire up an integration; you’ll build the cloud and AI backbone that lets millions of users interact seamlessly with the platforms our clients depend on.

We’re also passionate about giving back through open-source contributions, hosting community events, speaking at conferences, and pushing the craft of cloud and AI engineering forward.

What sets you apart:

•          Microsoft certifications (Azure Solutions Architect Expert, Azure AI Engineer Associate, Power Platform, or similar).

•          Experience with Next.js/React front-end development or native mobile development (iOS, Android, React Native), enabling full-stack collaboration.

•          Familiarity with agentic AI patterns and multi-agent orchestration frameworks (Semantic Kernel, LangChain, or similar).

•          Experience with headless CMS/DXP platforms (Optimizely, Sitecore, Adobe) and how they fit into a broader enterprise integration strategy.

•          Background designing solutions across hybrid on-prem/cloud environments, particularly involving M365 and SharePoint migrations.

•          Track record of building internal accelerators, frameworks, or reusable components that scale across client engagements.

•          Experience in regulated industries (financial services, healthcare, legal) with attention to security and compliance requirements.

Our Technical Stack:

Azure · .NET · C# · Next.js · React · TypeScript · REST · GraphQL · Salesforce · SharePoint · Microsoft 365 · Microsoft Graph · SQL Server · Cosmos DB · Microsoft Fabric · Microsoft Copilot Studio · Microsoft Foundry · Azure OpenAI · Azure AI Search · Azure Cognitive Search · Azure Machine Learning · Azure DevOps · GitHub Actions · GitHub Copilot

Why Genpact?  

  • Flexible PTO – If you need a day off or an extended vacation, take the time! 
  • Hybrid work environment: Casual and open office or Remote…You choose! 
  • Great insurance coverage (Multiple Options) and flexible spending accounts 
  • 401K with Company Matching 
  • Monthly Work from Home Stipend  
  • Continuous Training, Certifications, and Learning Opportunities 
  • Diversity, Equity, Inclusion and Belonging: We care about making Genpact a more diverse, equitable, and inclusive organization to bring about meaningful and measurable changes to representation, team member experience, and client engagement.

EEO Statement  

Genpact, is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. We are committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation


What Genpact employees say

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Benefits

Hours and flexibility

Workplace

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About Genpact

Sourced by ZipRecruiter

Genpact is a global Professional Services firm delivering the outcomes that transform our Clients' Businesses and shape their future. We're guided by our real world experience Redesigning and Running thousands of processes for hundreds of Global Companies. Our Clients including many in the Global Fortune 500 partner with us for our unique ability to combine deep industry and functional expertise, Leading talent, and Proven Methodologies to drive Collaborative Innovation that turns insights into action and delivers outcomes at scale. We create lasting competitive advantages for our Clients and their Customers, running digitally enabled operations and applying our Data Tech AI services to design, Build, and Transform their businesses. And we do it all with purpose. From New York to New Delhi and more than 30 countries in between, our 115,000+ team is passionate in its relentless pursuit of a world that works better for people.

Industry

It services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1997

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