Machine Learning Intern, Fall 2025

pspanNetflix is one of the world#39;s leading entertainment services, with 283 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./span/pp style="text-align:inherit"/pp style="text-align:inherit"/pp style="text-align:inherit"/ppspanNetflix is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at a massive scale over the internet, and continuously improving the personalization of how entertainment is presented to our more than 280 million members around the globe./span/pp/ppspanApplied Machine Learning Research at Netflix improves various aspects of our business, including personalization algorithms, member understanding, creative tooling, system optimization, and innovative tooling. Our research spans many areas of machine learning, including recommender systems, reinforcement learning, computer vision, natural language processing, optimization, causality, and operations research. Great applied research also requires robust machine learning infrastructure, another strong emphasis at Netflix./span/pp/ppMachine learning interns will be evaluated to find the best fit in one of the Machine Learning areas including various areas of Research as well as Infrastructure and Engineering. See a href="https://docs.google.com/document/d/e/2PACX-1vSjHoiO72KLZjGQ4Wev8Hhty_s_xDDDqCg7HpXNQnHiMF03PR0_hoBskNTZ97sk1MTWYR8kA6lw1F3e/pub" target="_blank"uhere/u/a for a detailed list of areas. Applicants are encouraged to express their interest in one or multiple types of internships listed if your skills and qualifications are aligned. /pp/ph2bspanWe are looking for individuals with the following qualifications:/span/b/h2ullipspanCurrently pursuing a Doctorate/ PhD degree in the Machine Learning or related field at an accredited university/span/p/lilipExperience with machine learning applied to at least one of the following domains:span /span/pullipbbPersonalization amp; Recommender Systems:/bspan /span/bspanUsing Transformers/LLMs for recommendations, multi-modal recommenders, collaborative filtering, content-based recommendation, hybrid systems, and conversational recommenders./span/p/lilipbbNatural Language Processing (NLP):/bspan /span/bspanLarge Language Models (LLMs), fine-tuning, in-context learning, prompt engineering, alignment, evaluation, text generation, and embeddings./span/p/lilipbbComputer Vision (CV):/bspan /span/bspanImage and video understanding, generation, and representation learning./span/p/lilipbbReinforcement Learning (RL):/bspan /span/bspanOffline and online RL, alignment and post-training, preference- and human-feedback-based learning./span/p/lilipbbReliable ML/bspan: /span/bspanRobustness, explainability/interpretability, causality./span/p/lilipbbMultimodal Data:/bspan /span/bspanHandling and integrating text, image, video, audio, and other data sources./span/p/lilipbbModel Optimization and Efficiency:/bspan /span/bspanTraining and inference efficiency, model benchmarking, optimization techniques./span/p/lilipbbML Platform amp; Infrastructure:/bspan /span/bspanBuilding scalable systems for the development and deployment of machine learning models./span/p/lilipbbGeneral ML Application Engineering: /b/bspanImplementing machine learning solutions across various domains./span/p/lilipbbComputer Graphics:/bspan /span/bspan3D modeling and understanding, neural rendering, animation, and related areas./span/p/li/ul/lilipspanExperience programming in at least one programming language (e.g., Python, Java, Scala, or C/C#43;#43;)./span/p/lilipspanExperience developing ML models using common frameworks (e.g., PyTorch, TensorFlow, Keras) and training on GPUs./span/p/lilipspanFamiliarity with end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability./span/p/lilipspanFor research-based roles, publications in relevant topics in top conferences or journals./span/p/lilipspanCurious, self-motivated, and excited about solving open-ended challenges at Netflix./span/p/lilipspanGreat communication skills, both oral and written./span/p/li/ulp/ph2bbNice to have:/b/b/h2ullipspanComfortable with distributed computing environments such as Spark or Presto./span/p/lilipspanComfortable with software engineering best practices (e.g. version control, testing, code review, etc.)./span/p/li/ulh2/h2h2bFor your application to be considered complete:/b/h2ullipspanYou 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./span/p/lilipspanInclude a Resume or CV with complete contact information (email, phone, mailing address) and a list of relevant coursework and publications (if applicable)./span/p/lilipspanIn the Airtable form, you will be asked to select a primary (or secondary) ML area for your potential internship. This will be used to map your application to particular teams amp; projects./span/p/lilipspanYou 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./span/p/li/ulp/ppspanDon’t meet every single requirement? That’s ok! If you’re excited about this role, but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles./span/pp/ph2bInternships at Netflix /b/h2pspanAt 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 for the summer. Netflix is a unique place to work and we live by our values, so it#39;s worth learning more about our /spana href="http://jobs.netflix.com/culture" target="_blank"uculture/u/aspan./span/pp/ppspanInternships are paid and are a minimum of 12 weeks, and internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team./span/pp/ppspanAt 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./span/pp/ppspanThe overall market range for Netflix Internships is typically $40/hour - $110/hour./span/pp/ppspanThis 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 /spana href="https://jobs.netflix.com/culture" target="_blank"spanhere/span/aspan./span/pp/ppiWe are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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./i/pp/pp style="text-align:inherit"/pp style="text-align:inherit"/pp style="text-align:left"a target="_blank" href="https://about.netflix.com/en/inclusion"uInclusion/u/aspan is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an spanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspanspan class="WKM1"accommodation/adjustment/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span/span for a disability or any other reason during the hiring process, please send a request to your recruiting partner./span/pp style="text-align:inherit"/pp style="text-align:left"spanWe are an equal-opportunity employer and celebrate diversity, recognizing that diversityspan /spanbuilds 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./span/pp style="text-align:inherit"/pp style="text-align:left"spanJob is open for no less than 7 days and will be removed when the position is filled./span/p