Intern Jobs at Netflix with Visa Sponsorship
Intern jobs at Netflix span engineering, data science, product, and content strategy, with roles that often require specialized technical skills. The company has a consistent track record of sponsoring work visas for intern-level talent, making it a viable target if you're on F-1 OPT, CPT, or another work-authorized status.
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Get Access To All JobsINTRODUCTION
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. Members can play, pause, and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. The AIMS AI Foundations team sits within the AI for Member Systems (AIMS) organization and focuses on the research and engineering foundations that underpin next-generation member experiences. Our work spans agentic AI systems, LLM evaluation frameworks, multimodal modeling and training data curation. We work at the intersection of applied research and product impact, translating novel ideas into measurable improvements for Netflix members worldwide.
ROLE AND RESPONSIBILITIES
We are seeking a PhD intern to join us for a Fall 2026 engagement (targeting a September 2026 start, with flexibility). This is a hands-on applied research role: you will be expected to design and run experiments, build prototypes, and contribute meaningfully to ongoing team projects in one or more of our core domain areas. Domain Areas Interns will be matched to projects within one or more of the following focus areas:
- Agentic AI – Developing and evaluating systems that reason, plan, and act autonomously, including tool use, retrieval-augmented reasoning, memory and goal management, and feedback-driven learning.
- LLM Evaluations – Designing rigorous evaluation frameworks, benchmarks, and quality metrics to assess language model behavior, reliability, and alignment.
- Multimodal Data – Building models and pipelines that integrate text, image, video, audio, and other data modalities; experience with large vision-language models and modality fusion.
- LLM Training Data Curation – Researching and implementing methods for selecting, filtering, and improving training data quality to enhance model performance.
BASIC QUALIFICATIONS
Must Have
- Currently enrolled PhD student in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Cognitive Science, or a related field
- Able to work 40 hours per week during the fall/winter
- Proficiency in Python
- Strong foundation in machine learning, deep learning, and algorithms/statistics
- Experience with one or more major ML frameworks: PyTorch, TensorFlow, or JAX
- Ability to design, run, and interpret ML experiments in an applied research setting
- Ability to translate research ideas into practical prototypes and evaluations
- Strong oral and written communication skills for presenting technical work clearly
Nice to Have
- Coursework or research experience in advanced NLP, advanced ML systems, or reinforcement learning
- Familiarity with HuggingFace, Transformers, Pandas, NumPy, and scikit-learn
- Publications in top venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, CIKM, WWW, UAI, CVPR, or related
- Experience with agentic systems, multimodal modeling, or applied LLM workflows
- Exposure to evaluation design, benchmarking, and model quality tradeoffs
- Familiarity with distributed computing environments such as Spark or Presto
- Comfortable with software engineering best practices (version control, testing, code review)
ABOUT THE INTERNSHIP
At Netflix, we offer a personalized experience for interns. Our aim is to provide an experience that mirrors what it is truly like to work here. Interns are fully embedded within their team, own meaningful projects, and operate with the same autonomy as full-time employees.
- Internship duration: minimum 12 weeks, targeting a September 2026 start date
- Location: Los Gatos, CA headquarters or remote; flexible depending on team
- This program is intended for students who will be returning to school for at least one semester/quarter following the internship
APPLICATION REQUIREMENTS
For Your Application to Be Considered Complete
- Submit your application on our Netflix Careers site
- Complete the Airtable supplemental form sent after initial application submission — applications are not considered complete without it
- Include a resume or CV with complete contact information, relevant coursework, and publications (if applicable)
- Include a short statement describing your research experience and interests, and optionally their relevance to the AIMS AI Foundations team’s focus areas
- Applications are reviewed on a rolling basis. For inspiration, visit the Netflix Research site.
COMPENSATION
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.
BENEFITS
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.
EEO STATEMENT
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.
INTRODUCTION
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. Members can play, pause, and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. The AIMS AI Foundations team sits within the AI for Member Systems (AIMS) organization and focuses on the research and engineering foundations that underpin next-generation member experiences. Our work spans agentic AI systems, LLM evaluation frameworks, multimodal modeling and training data curation. We work at the intersection of applied research and product impact, translating novel ideas into measurable improvements for Netflix members worldwide.
ROLE AND RESPONSIBILITIES
We are seeking a PhD intern to join us for a Fall 2026 engagement (targeting a September 2026 start, with flexibility). This is a hands-on applied research role: you will be expected to design and run experiments, build prototypes, and contribute meaningfully to ongoing team projects in one or more of our core domain areas. Domain Areas Interns will be matched to projects within one or more of the following focus areas:
- Agentic AI – Developing and evaluating systems that reason, plan, and act autonomously, including tool use, retrieval-augmented reasoning, memory and goal management, and feedback-driven learning.
- LLM Evaluations – Designing rigorous evaluation frameworks, benchmarks, and quality metrics to assess language model behavior, reliability, and alignment.
- Multimodal Data – Building models and pipelines that integrate text, image, video, audio, and other data modalities; experience with large vision-language models and modality fusion.
- LLM Training Data Curation – Researching and implementing methods for selecting, filtering, and improving training data quality to enhance model performance.
BASIC QUALIFICATIONS
Must Have
- Currently enrolled PhD student in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Cognitive Science, or a related field
- Able to work 40 hours per week during the fall/winter
- Proficiency in Python
- Strong foundation in machine learning, deep learning, and algorithms/statistics
- Experience with one or more major ML frameworks: PyTorch, TensorFlow, or JAX
- Ability to design, run, and interpret ML experiments in an applied research setting
- Ability to translate research ideas into practical prototypes and evaluations
- Strong oral and written communication skills for presenting technical work clearly
Nice to Have
- Coursework or research experience in advanced NLP, advanced ML systems, or reinforcement learning
- Familiarity with HuggingFace, Transformers, Pandas, NumPy, and scikit-learn
- Publications in top venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, CIKM, WWW, UAI, CVPR, or related
- Experience with agentic systems, multimodal modeling, or applied LLM workflows
- Exposure to evaluation design, benchmarking, and model quality tradeoffs
- Familiarity with distributed computing environments such as Spark or Presto
- Comfortable with software engineering best practices (version control, testing, code review)
ABOUT THE INTERNSHIP
At Netflix, we offer a personalized experience for interns. Our aim is to provide an experience that mirrors what it is truly like to work here. Interns are fully embedded within their team, own meaningful projects, and operate with the same autonomy as full-time employees.
- Internship duration: minimum 12 weeks, targeting a September 2026 start date
- Location: Los Gatos, CA headquarters or remote; flexible depending on team
- This program is intended for students who will be returning to school for at least one semester/quarter following the internship
APPLICATION REQUIREMENTS
For Your Application to Be Considered Complete
- Submit your application on our Netflix Careers site
- Complete the Airtable supplemental form sent after initial application submission — applications are not considered complete without it
- Include a resume or CV with complete contact information, relevant coursework, and publications (if applicable)
- Include a short statement describing your research experience and interests, and optionally their relevance to the AIMS AI Foundations team’s focus areas
- Applications are reviewed on a rolling basis. For inspiration, visit the Netflix Research site.
COMPENSATION
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.
BENEFITS
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.
EEO STATEMENT
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.
Tips for Finding Intern Jobs at Netflix
Align your transcript with Netflix's intern tracks
Netflix intern roles in engineering and data science typically require coursework in machine learning, distributed systems, or applied statistics. Highlighting relevant coursework and projects in your resume signals to recruiters that you meet the specialty occupation threshold for visa sponsorship.
Apply before Netflix's recruiting cycle closes
Netflix recruits interns on a rolling basis but fills cohorts early, often by February for summer roles. Submitting applications in October or November gives you the best shot before headcount is allocated and sponsorship decisions are locked in.
Clarify your CPT or OPT authorization before your interview
Netflix interviewers expect you to articulate your work authorization status clearly. Know your OPT or CPT start date, duration, and any STEM extension eligibility before the offer stage so HR can move quickly on the paperwork.
Confirm E-Verify enrollment before accepting an offer
As an F-1 student on CPT or OPT, you can only work for E-Verify-enrolled employers. Confirm Netflix's enrollment through the E-Verify employer search before your offer deadline, not after, to avoid delays in your start date.
Target intern roles that map to H-1B specialty occupations
If you're planning to convert your internship into a full-time H-1B role, prioritize intern positions in software engineering, data engineering, or quantitative research. USCIS scrutinizes whether the position requires a specific bachelor's degree, so a clear degree-to-role match strengthens any future petition.
Use Migrate Mate to filter Netflix intern openings by visa type
Sorting by visa type before applying saves time if you're on a specific status like TN or J-1. Migrate Mate lets you filter Netflix intern roles by sponsorship category so you're only pursuing positions that fit your authorization.
Frequently Asked Questions
Does Netflix sponsor H-1B visas for Interns?
Netflix does sponsor H-1B visas, though H-1B sponsorship at the intern level is uncommon because most internships run on F-1 CPT or OPT. H-1B sponsorship is more typically initiated when an intern converts to a full-time role. If you're targeting a direct H-1B intern path, confirm the specific role's eligibility with Netflix's recruiting team before applying.
How do I apply for Intern jobs at Netflix?
Applications go through Netflix's careers portal, where intern roles are listed by team and location. You can also browse and filter Netflix intern openings by visa sponsorship type on Migrate Mate, which helps you identify roles that match your authorization status before you apply. Tailor your application to the specific engineering or business track you're targeting.
Which visa types are commonly used for Intern roles at Netflix?
F-1 CPT and F-1 OPT are the most common authorization pathways for Netflix interns, covering students enrolled at U.S. universities and recent graduates. J-1 visa intern visas are also used for structured exchange programs. E-3 visa and TN visa categories apply to Australian and Canadian or Mexican nationals respectively, and Netflix has a history of sponsoring both for qualifying roles.
What qualifications does Netflix expect from sponsored Intern candidates?
Netflix intern roles in technical tracks expect active enrollment in or recent graduation from a bachelor's or master's program in computer science, data science, engineering, or a related field. Strong proficiency in Python, Java, or data infrastructure tools is standard for engineering internships. For USCIS specialty occupation purposes, your degree field needs to align directly with the role you're applying for.
How do I time my application around visa processing for a Netflix internship?
For F-1 CPT, your school's international student office must authorize CPT before your start date, which can take two to four weeks. Apply to Netflix at least two to three months before your intended start date to leave room for offer processing, CPT authorization, and any E-Verify verification. OPT applications must be submitted to USCIS up to 90 days before your program end date, so plan your timeline around that window.