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Internship H1B Computer Science Jobs in Seattle, WA

Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and contractors Minimum Qualifications: * Bachelor's degree in Computer Science, Computer Engineering ...

This internship is ideal for students pursuing careers in Information Technology, Computer Science, or related technical fields who are eager to gain practical, hands-on experience supporting ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Senior Electrical Design Engineer

Seattle, WA · On-site

$118K - $159K/yr

Seattle, WA NOC2C OR H1B-----ONLY W2----- Requirements Required: Integrated circuit design examples ... study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor'

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

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Internship H1B Computer Science information

See Seattle, WA salary details

$10

$19

$29

How much do internship h1b computer science jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for internship h1b computer science in Seattle, WA is $19.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an H1B Computer Science Intern, and why are they important?

To thrive as an H1B Computer Science Intern, you typically need a solid foundation in programming, data structures, algorithms, and a relevant academic background in computer science or a related field. Familiarity with coding languages like Python, Java, or C++, version control systems, and sometimes cloud platforms or database technologies is expected. Strong problem-solving skills, adaptability, and effective communication are essential soft skills for success in collaborative environments. These skills and qualities are vital for contributing to technical projects, learning quickly, and integrating smoothly into diverse workplace teams.

What are Internship H1B Computer Science positions?

Internship H1B Computer Science positions are roles offered to students or recent graduates in the computer science field, typically by U.S. employers who are willing to sponsor an H-1B visa. The H-1B visa allows employers to temporarily employ foreign workers in specialty occupations, including computer science. While internships themselves are usually done on F-1 student visas (such as CPT or OPT), some companies may sponsor H-1B visas for candidates who have completed their internships and are offered full-time employment. These roles provide valuable industry experience and may lead to longer-term work opportunities in the U.S.

What is the difference between Internship H1B Computer Science vs Software Engineer?

AspectInternship H1B Computer ScienceSoftware Engineer
Required CredentialsTypically enrolled in or recent graduate of Computer Science programBachelor's or higher in Computer Science or related field, sometimes certifications
Work EnvironmentTemporary, entry-level, often in tech companies or startupsFull-time, professional setting, may involve team collaboration and project management
Employer & Industry UsageUsed for visa sponsorship, internship programs, early career experienceFull-time employment, core role in software development

In summary, an Internship H1B Computer Science is a temporary, entry-level position aimed at gaining experience and fulfilling visa requirements, whereas a Software Engineer is a full-time professional role focused on developing software solutions in a permanent capacity.

What are some common challenges computer science interns on an H1B visa might face, and how can they prepare for them?

Computer science interns on an H1B visa often encounter challenges such as adapting to new work cultures, managing visa-related paperwork, and balancing high expectations for technical skills. It's important to proactively communicate with HR and managers to understand company policies and ensure compliance with visa requirements. Building strong relationships within the team and seeking mentorship can help ease the transition and accelerate professional growth during the internship.
What are the most commonly searched types of H1B Computer Science jobs in Seattle, WA? The most popular types of H1B Computer Science jobs in Seattle, WA are:
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 14 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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