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Netflix Machine Learning Intern Fall 
United States, California 
29196487

Today
Work Type

Machine 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 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.

We are looking for individuals with the following qualifications:
  • Currently pursuing a Doctorate/ PhD degree in the Machine Learning or related field at an accredited university

  • Experience with machine learning applied to at least one of the following domains:

    • Personalization & Recommender Systems:Using Transformers/LLMs for recommendations, multi-modal recommenders, collaborative filtering, content-based recommendation, hybrid systems, and conversational recommenders.

    • Natural Language Processing (NLP):Large Language Models (LLMs), fine-tuning, in-context learning, prompt engineering, alignment, evaluation, text generation, and embeddings.

    • Computer Vision (CV):Image and video understanding, generation, and representation learning.

    • Reinforcement Learning (RL):Offline and online RL, alignment and post-training, preference- and human-feedback-based learning.

    • Reliable ML:Robustness, explainability/interpretability, causality.

    • Multimodal Data:Handling and integrating text, image, video, audio, and other data sources.

    • Model Optimization and Efficiency:Training and inference efficiency, model benchmarking, optimization techniques.

    • ML Platform & Infrastructure:Building scalable systems for the development and deployment of machine learning models.

    • General ML Application Engineering:Implementing machine learning solutions across various domains.

    • Computer Graphics:3D modeling and understanding, neural rendering, animation, and related areas.

  • Experience programming in at least one programming language (e.g., Python, Java, Scala, or C/C++).

  • Experience developing ML models using common frameworks (e.g., PyTorch, TensorFlow, Keras) and training on GPUs.

  • Familiarity with end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability.

  • For research-based roles, publications in relevant topics in top conferences or journals.

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

  • Great communication skills, both oral and written.

Nice to have:
  • Comfortable with distributed computing environments such as Spark or Presto.

  • Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).

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).

  • In 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 & projects.

  • 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.

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