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Machine Learning Internship Microsoft Jobs in Oregon

Overview We are looking for interns to join Instacart's Economics team. The ideal candidate for this role will bring a combination of experience in both economics and machine learning. We are in ...

Prior industry or research internship in machine learning or AI * Interest and experience in translating research ideas into scalable production systems

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

OR

$134K - $180K/yr

Job Summary: The Machine Learning Engineer will tackle challenging problems and create scalable ... Experience with Microsoft Office Suite (Word, Excel, PowerPoint) * Experience with Google Business ...

AI Solutions Architect

Portland, OR

$66.75 - $88/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

$32 - $40/hr

Overview This internship centers on researching and developing advanced healthcare informatics ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional ...

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional ...

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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.
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 July 2026, with employment types broken down into 7% Internship, 1% As Needed, 72% Full Time, 18% Part Time, 1% Temporary, and 1% Nights. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.
Machine Learning PhD Intern, Economics (Fall)

Machine Learning PhD Intern, Economics (Fall)

Instacart

OR

Other

Re-posted 19 days ago


Instacart rating

7.0

Company rating: 7.0 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

32nd of 63 rated delivery companies


Job description

Overview

We are looking for interns to join Instacart's Economics team. The ideal candidate for this role will bring a combination of experience in both economics and machine learning. We are in particular looking for current or recently graduated PhD students in economics or related fields like marketing, finance, or operations research. Candidates should bring some relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to machine learning coursework and applications.

The Economics team at Instacart works on a range of interesting and challenging problems at the intersection of machine learning and economics, from aligning the incentives in our multi-sided marketplace to analyzing the impact of behavioral nudges on our customers' and shoppers' decisions. Some of the core areas of focus for our team include online advertising, uplift and long term value modeling, logistics, marketplace optimization (consumers, shoppers, retailers), inventory intelligence, and general causal inference. You can find more information in our blog post that introduces the team and the type of work we do.

About the Job

  • You will help design and build end-to-end machine learning solutions.
  • You will be working in small and cross-functional product teams, with great opportunities for growth and ownership of projects.
  • You will be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and research across many domains.
  • You will develop high impact solutions to support Instacart's ambitious growth plans.
  • You will work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experiments.
  • You will have the freedom to suggest and drive organization-wide initiatives.

About You

Minimum Qualifications

  • Current or recently graduated PhD student in economics or a related field with focus on data-intense problems.
  • A blend of economic theory, applied econometrics, and business acumen that let you jump into a fast-paced environment and contribute from day one.
  • Expertise in causal inference with observational and experimental data.
  • Expertise in Python or R and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
  • Self-motivation and a strong sense of ownership

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012