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Remote Computer Science Internship Jobs in Stanford, CA

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Remote Computer Science Internship information

What is a remote computer science internship?

A Remote Computer Science Internship is a temporary, virtual position where students or aspiring professionals gain hands-on experience in computer science fields such as software development, data analysis, cybersecurity, or AI. Interns work on real-world projects, collaborate with teams, and develop technical and problem-solving skills—all from a remote location. These internships provide valuable exposure to industry tools, programming languages, and professional workflows, enhancing career prospects.

What kind of support and mentorship can I expect during a remote computer science internship?

Remote Computer Science Interns typically receive regular guidance from designated mentors or team leads through scheduled video calls, chat channels, and collaborative online tools. You'll have access to code reviews, feedback sessions, and opportunities to participate in virtual team meetings, allowing you to learn from experienced professionals and ask questions in real-time. Many organizations also provide onboarding resources, documentation, and community forums to help new interns integrate smoothly. This supportive environment ensures you can develop your skills, overcome remote work challenges, and make meaningful contributions during your internship.

What are the key skills and qualifications needed to thrive in a remote computer science internship, and why are they important?

To thrive as a Remote Computer Science Intern, you should possess a solid understanding of programming languages such as Python, Java, or C++, strong problem-solving abilities, and be actively pursuing or holding a degree in computer science or a related field. Familiarity with version control systems like Git, basic knowledge of software development tools, and exposure to collaborative platforms such as GitHub or Jira are highly valued. Excellent communication, self-motivation, and time management skills enable you to work effectively in a remote environment and stay connected with your team. These competencies are essential for successfully contributing to real-world projects, adapting to remote workflows, and developing professionally during the internship.

What job categories do people searching Remote Computer Science Internship jobs in Stanford, CA look for?

The top searched job categories for Remote Computer Science Internship jobs in Stanford, CA are:

What cities near Stanford, CA are hiring for Remote Computer Science Internship jobs?

Cities near Stanford, CA with the most Remote Computer Science Internship job openings:

Infographic showing various Remote Computer Science Internship job openings in Stanford, CA as of September 2026, with employment types broken down into 30% Internship, 32% Full Time, 34% Part Time, and 4% Contract. Highlights an 100% Remote job distribution.

Machine Learning/AI Infrastructure Engineering Intern (AI Platform) PhD, Winter 2027

Los Gatos, CA • On-site, Remote

Netflix
Arts, Entertainment, and Recreation • 5 - 10K employees

$85/hr

Full-time, Internship

Medical, Life, Retirement, PTO

Posted 16 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages.

The AI Platform team builds the infrastructure that Netflix's ML and AI systems run on, from large-scale training platforms and post-training/offline infrastructure to GPU-optimized inference and serving.

You'll work on infrastructure that's closely co-designed with modeling teams (model-system codesign), so this role suits PhD researchers who enjoy working at the intersection of systems and ML rather than pure modeling.

We are looking for individuals with the following qualifications:

  • Currently enrolled student pursuing a PhD in Computer Science, Distributed Systems, Systems, Networking, Machine Learning, Computer Engineering, or a related field

  • Research or applied experience in one or more of the following:

    • Distributed systems, distributed training/serving infrastructure

    • ML training platforms, post-training or offline infrastructure

    • Inference and serving optimization, GPU-optimized inference

    • Model-system codesign

  • Proficiency in Python; experience with systems languages (Go, C++, or Rust) is a strong plus

  • Familiarity with distributed compute frameworks (e.g., Ray, Kubernetes, Spark) and ML training/serving stacks

  • Curious, self-motivated, and excited about solving open-ended infrastructure challenges at Netflix scale

  • Strong written and verbal communication skills

Nice to have:

  • Publications or strong research alignment with systems-track venues (OSDI, SOSP, NSDI) or applied ML venues

  • Prior industry or internship experience in ML infrastructure

Program details:

  • 12-week minimum internship with a start date early January 2027

  • Based at our Los Gatos, CA headquarters, may be open to remote candidates

  • Intended for students returning to school for at least one semester/quarter after the internship; conversion/return offers are based on business need and headcount, and are not guaranteed

For your application to be considered complete:

  • You will be sent an Airtable form shortly after you submit your application on our careers site; your application will not be considered complete until you fill out and submit this form.

  • Include a Resume or CV with complete contact information (email, phone, mailing address) and a list of relevant coursework and publications (if applicable). You will be asked to include a short statement describing your research experiences and interests, and (optionally) their relevance to Netflix Research. For inspiration, have a look at the Netflix Research site.

  • Applications will be reviewed on a rolling basis and it's in the applicant's best interest to apply early. The application window will remain open until roles are filled.

About the Internship Program

At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.

  • Internships are paid and are a minimum of 12 weeks, with a fixed start date the second week of January 2027 (Winter). Location is flexible for this team, with remote candidates considered.

  • This program is intended for students who will be returning to school for at least one semester/quarter following the internship to be eligible for full time employment. Conversion or return offers are based on business need and headcount, and are not guaranteed.

At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. The overall market range for Netflix Internships is typically $40/hour - $85/hour.

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Apply now and help us shape the future of entertainment at Netflix!

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.


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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997