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PacRim Marketing Group, Inc.

Internship

Honolulu, HI · On-site

$14.75 - $19.75/hr

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Full Time Microsoft Internships information

Is it hard to get an internship at Microsoft?

Securing a full-time Microsoft internship is competitive due to high applicant volume and rigorous selection processes. Candidates typically need strong technical skills, relevant coursework, and demonstrated problem-solving abilities, often including coding experience with tools like Visual Studio or Azure. The process involves multiple interviews and assessments to evaluate technical and soft skills.

What is the difference between Full Time Microsoft Internships vs Full Time Microsoft Software Engineer?

AspectFull Time Microsoft InternshipsFull Time Microsoft Software Engineer
Required CredentialsCurrently enrolled in a degree program, relevant coursework, some technical skillsBachelor's or master's degree in computer science or related field, strong technical skills
Work EnvironmentTemporary, internship setting, mentorship programs, project-basedFull-time, permanent role, collaborative teams, ongoing projects
Employer & Industry UsagePart of internship programs, used for talent pipelineCore full-time position, integral to company operations

In summary, Full Time Microsoft Internships are temporary roles designed for students to gain experience, while Full Time Microsoft Software Engineer positions are permanent roles requiring more experience and technical expertise. Internships serve as a pathway to full-time employment and skill development within Microsoft.

How much do Microsoft interns get paid?

Microsoft interns in full-time internships typically earn between $7,000 and $8,000 per month, depending on location and level of experience. Interns often work 40 hours per week and may receive additional benefits such as housing stipends or transportation allowances.

Do Microsoft interns get paid?

Yes, Microsoft interns typically receive compensation for their work, which can include hourly wages or stipends depending on the internship program. Interns often work full-time hours and may also gain benefits such as mentorship and professional development opportunities.

How do I get into Microsoft as an Intern?

To secure a Microsoft internship, applicants should have strong academic performance, relevant technical skills such as programming or data analysis, and demonstrate problem-solving abilities. The application process typically involves submitting an online application, completing assessments, and participating in interviews. Internships are competitive and often require current enrollment in a related degree program and the ability to work full-time during the internship period.
What cities are hiring for Full Time Microsoft Internships jobs? Cities with the most Full Time Microsoft Internships job openings:
What are the most commonly searched types of Microsoft Internships jobs? The most popular types of Microsoft Internships jobs are:
What states have the most Full Time Microsoft Internships jobs? States with the most job openings for Full Time Microsoft Internships jobs include:
Full Time Microsoft Internships jobs near you
Applied Science: PhD Microsoft AI Internship Opportunities - Redmond

Applied Science: PhD Microsoft AI Internship Opportunities - Redmond

Microsoft

Redmond, WA • On-site

$8.9K - $14K/mo

Full-time, Internship

Posted 16 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

78th of 245 rated software companies

Job description

Overview
Bring your passion for innovation and research to a team at the forefront of artificial intelligence and machine learning. If you're eager to make significant contributions across user engagement, intelligent experiences, and real product scenarios, this opportunity within Microsoft AI Content and Commerce, Search Fundamentals, and Search Place will excite you.
As an Applied Scientist PhD Intern, you will apply your expertise in areas such as supervised and unsupervised learning, deep learning (especially transformers and sequence modeling), reinforcement learning for optimizing user outcomes, and advanced data science techniques. You'll translate complex business challenges-spanning search, personalization, natural language processing, computer vision, and recommendation systems-into practical, impactful solutions using Azure and other cloud-based technologies. Your experience with statistical analysis, hypothesis testing, large datasets, and deploying robust data pipelines will be valued as you drive research into production.
This role allows you to shape the future of Copilot and intelligent content, influencing Microsoft's direction as you directly support our overarching mission and vision.
At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth-mindset culture, we innovate responsibly and measure success by shared progress, people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what's next for everyone.
Please note this application is only for internships based in our Redmond, Washington office. For internships in other offices in the United States, please see our Careers site.
Responsibilities
  • Analyze and improve advanced machine learning algorithms and systems at scale, optimizing performance across large, complex datasets.
  • Translate product scenarios and user needs into applied ML problems; design and execute experiments to validate, iterate, and optimize solutions.
  • Develop and scale models for search, ranking, recommendations, retrieval, and language understanding using modern AI techniques (e.g., deep learning, reinforcement learning, probabilistic methods).
  • Prepare, clean, and curate high-quality datasets-identifying data quality issues, defining inclusion criteria, and enabling robust feature development.
  • Build and enhance data and ML pipelines (data collection, preparation, modeling), applying statistical methods to validate assumptions and evaluate model performance.
  • Collaborate cross-functionally with scientists, engineers, and product stakeholders to iterate on ideas and deliver real-world, product-integrated solutions.
  • Communicate technical insights and experimental results clearly, while continuously incorporating emerging research, tools, and industry trends to improve solution quality and efficiency.

Qualifications
Required Qualifications
  • Currently pursuing a Doctorate Degree in Statistics, Econometrics, Computer Science, Artificial Intelligence, Electrical or Computer Engineering, or related field.
  • Must have at least one additional quarter/semester of school remaining following the completion of the internship.
  • Candidate must be enrolled in a full time PhD program in area relevant for the role during the academic term immediately before their internship.

Preferred Qualifications
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
    • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
    • Equivalent experience.
  • Explore product challenges using state of the art solutions.
  • Research publications, coursework, or project experience relevant to search, language models, recommender systems, geospatial or location intelligence, or content and commerce systems.
  • Experience running controlled experiments and interpreting offline and online evaluation metrics.
  • Familiarity with large-scale distributed systems or productionizing applied science solutions.
  • Passion for building AI experiences that improve relevance, discovery, personalization, and end-user satisfaction.

The base pay range for this internship is USD $6,810.00 - $13,480.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,920.00 - $14,610.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-intern-pay
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar
(September - April)
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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