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Machine Learning Internship Microsoft Jobs in Oregon

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

Senior Research Engineer - Enterprise Products

OR · On-site +1

$104K - $143K/yr

We contribute to all steps of the machine learning lifecycle: from conceptualization, to applied ... A history of mentoring junior engineers and interns is a huge plus. A desire to constantly grow and ...

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

We modernize their supply chains using artificial intelligence, machine learning and connected ... Microsoft D365 F&O and Infor. We're here to help transform finance and supply-chain processes ...

Senior Math Libraries Engineer - AI and HPC

OR · On-site +1

$104K - $143K/yr

... interns. Working closely with product management and other internal and external customers to ... Good understanding of Machine Learning and Deep Learning technologies as well as knowledge of GPU ...

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 ...

$18 - $25/hr

The WWT Internship Program is a 10 week summer program designed to give college students an ... Machine Learning Operations, Multicloud, and Security. Relevant Majors: * Business Administration

$18 - $25/hr

The WWT Internship Program is a 10 week summer program designed to give college students an ... Machine Learning Operations, Multicloud, and Security. Relevant Majors: * Business Administration

$18 - $25/hr

The WWT Internship Program is a 10 week summer program designed to give college students an ... Machine Learning Operations, Multicloud, and Security. Relevant Majors: * Business Administration

Showing results 41-60

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 job categories do people searching Machine Learning Internship Microsoft jobs in Oregon look for?

The top searched job categories for Machine Learning Internship Microsoft jobs in Oregon are:

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.

Senior Data Scientist with Security Clearance

Astoria, OR • On-site

Other

Re-posted 20 days ago


Job description

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities. Essential Job Duties: * The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
* The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
* The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
* The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
* The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
* The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Active TS/SCI Clearance.
* Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
* nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
* Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
* Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
* Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
* Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
* Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
* Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.
Preferred Qualifications: * Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility.
Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.