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Machine Learning Internship Microsoft Jobs in Hawaii

Progress

Senior Principal Consultant

Honolulu, HI · Remote

... for machine learning and AI. To learn more visit www.progress.com/federal. We are seeking a ... Cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure, including common services ...

Progress

Senior Principal Consultant

Honolulu, HI · On-site +1

... for machine learning and AI. To learn more visit www.progress.com/federal. We are seeking a ... Cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure, including common services ...

Progress

Senior Principal Consultant

Honolulu, HI · Remote

... for machine learning and AI. To learn more visit www.progress.com/federal. We are seeking a ... Cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure, including common services ...

Socket.dev

Senior Data Scientist

Waimanalo, HI · On-site

$120 - $170/hr

Proficiency with Microsoft Office Suite, particularly Excel and PowerPoint. * Strong written and ... Experience developing predictive models, statistical analyses, or machine learning solutions.

Peraton

Senior Data Scientist/ Engineer

Honolulu, HI · On-site

$146K - $234K/yr

Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics ... Experience with machine learning, algorithm analysis, and data clustering. Peraton Overview Peraton ...

Peraton

Senior Data Scientist/ Engineer

Honolulu, HI · On-site

$146K - $234K/yr

Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics ... Experience with machine learning, algorithm analysis, and data clustering. Peraton Overview Peraton ...

Peraton

Senior Data Scientist/ Engineer

Honolulu, HI

$146K - $234K/yr

Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics ... Experience with machine learning, algorithm analysis, and data clustering. Peraton Overview Peraton ...

DAWSON

Safety Intern

Honolulu, HI · On-site

$18 - $20/hr

Site Safety Health Officer (SSHO) EFFECTIVE DATE: 1/2/2025 - The internship will run for the ... Specialized equipment, machines, or vehicles used: None expected for this position We are an Equal ...

DAWSON

Safety Intern

Honolulu, HI

$18 - $20/hr

Site Safety Health Officer (SSHO) EFFECTIVE DATE: 1/2/2025 The internship will run for the ... Specialized equipment, machines, or vehicles used: None expected for this position We are an Equal ...

Laukoa

Safety Intern

Honolulu, HI · On-site

$18 - $20/hr

Site Safety Health Officer (SSHO) EFFECTIVE DATE: 1/2/2025 - The internship will run for the ... Specialized equipment, machines, or vehicles used: None expected for this position We are an Equal ...

LAUKOA

Safety Intern

Honolulu, HI · On-site

$18 - $20/hr

Site Safety Health Officer (SSHO) EFFECTIVE DATE: 1/2/2025 - The internship will run for the ... Specialized equipment, machines, or vehicles used: None expected for this position We are an Equal ...

ManTech

Junior Procurement Analyst

Aiea, HI · On-site

$52K - $87K/yr

Basic proficiency in Microsoft Excel for tracking procurement metrics. * Familiarity with basic ... Constantly operates a computer and other office productivity machinery, such as a calculator, copy ...

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All JobsMachine Learning Microsoft JobsMachine Learning Internship Microsoft JobsMachine Learning Internship Microsoft Jobs in Hawaii

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 Hawaii? For Machine Learning Internship Microsoft jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Machine Learning Internship Microsoft jobs in Hawaii look for? The top searched job categories for Machine Learning Internship Microsoft jobs in Hawaii are:
What cities in Hawaii are hiring for Machine Learning Internship Microsoft jobs? Cities in Hawaii 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 Hawaii as of July 2026, with employment types broken down into 7% Internship, 1% As Needed, 68% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Director, IT AI/Automation and Data Governance

Hawaii Medical Service Association

Honolulu, HI • Hybrid

Full-time

Posted 11 days ago

Job description

  1. Lead and manage AI/Automation development, machine learning, data engineering, and automation delivery teams.
    • Set strategic direction, delivery priorities, architecture guardrails, and development standards for AI and automation initiatives.
    • Oversee solution planning, resource allocation, delivery execution, and operational readiness for AI and automation products and services.
    • Ensure development teams follow approved governance, security, testing, documentation, and release management practices.
    • Coach and develop managers, engineers, data scientists, and technical leads to build a high-performing, accountable, and innovative organization.
    • Drive collaboration across product, infrastructure, security, analytics, and business teams to accelerate value delivery and adoption.
    • Manage vendor and partner relationships supporting AI, data, and automation capabilities.
    • Support budget planning, investment prioritization, and workforce planning for governance and delivery functions.
  2. Develop and lead the enterprise framework for AI/Automation governance, data governance, and responsible automation practices.
    • Establish policies, standards, and controls for data quality, metadata, lineage, model governance, risk management, security, privacy, and compliance.
    • Define governance processes across the AI and data lifecycle, including intake, approval, development, testing, deployment, monitoring, and retirement.
  3. Partner with business, legal, compliance, security, privacy, and technology leaders to align governance with organizational risk appetite and strategic priorities.
  4. Oversee governance for AI/Automation use cases, models, and automation solutions to ensure transparency, accountability, explainability, and auditability where appropriate.
  5. Lead governance forums, review boards, and decision-making processes for AI, data, and automation initiatives.
  6. Develop metrics, dashboards, and reporting to measure governance maturity, control effectiveness, adoption, and business value.
  7. Monitor evolving regulatory, ethical, and industry requirements related to AI, data, and automation and translate them into actionable enterprise policies.
  8. Performs all other miscellaneous responsibilities and duties as assigned or directed.
#LI-Hybrid
  1. Bachelor's degree in Information Technology, Computer Science, Data Science, Engineering, or equivalent combination of education and experience.
  2. Ten years of progressive leadership experience in IT, data, analytics, AI/Automation, or digital technology functions.
  3. Experience establishing or leading data governance, AI/Automation governance, model risk management, or technology governance programs.
  4. Experience leading software development, AI/ML, data engineering, or automation teams in an enterprise environment.
  5. Strong knowledge of data management practices including data quality, metadata, lineage, stewardship, master data, and information lifecycle controls.
  6. Strong understanding of AI and automation concepts, including model lifecycle management, responsible AI principles, process automation, and operational controls.
  7. Demonstrated ability to translate technical, regulatory, and risk requirements into practical operating models, standards, and execution plans.
  8. Experience working across legal, compliance, audit, security, privacy, and business functions in highly regulated or risk-sensitive environments.
  9. Strong communication, executive presentation, stakeholder management, and organizational leadership skills.
  10. Intermediate knowledge of Microsoft Office applications, including but not limited to, Word, Excel, PowerPoint, and Outlook.

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