We are looking for individuals with the following qualifications:
Must have:
Currently enrolled PhD or MS student in the Machine Learning space, or PhD graduate seeking postdoctoral research.
Experience with at least one of the following ML areas:
Personalization & Recommender Systems: using transformers for recommenders, multi-modal recommenders, conversational recommenders
Natural Language Processing (NLP): Large Language Models (LLMs), fine-tuning, in-context learning, text generation and embedding
Computer Vision (CV): Image and video processing and generation
Reinforcement Learning (RL): Preference-based learning, reinforcement learning from human feedback
Multimodal Data: Handling and integrating text, image, video, and other data
Model Optimization and Efficiency: Inference efficiency, model benchmarking, optimization techniques.
Experience programming in at least one programming language (e.g. Python or C/C++).Experience developing ML models using common frameworks (e.g. PyTorch, TensorFlow, Keras) and training on GPUs
Curious, self-motivated, and excited about solving open-ended challenges at Netflix.
Great communication skills, both oral and written.
Nice to have:
Publications in relevant topics in top conferences or journals.
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 (1-5 business days); 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 exactly one 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 (max one page) statement describing your research experiences and interests, and (optionally) their relevance to Netflix Research. For inspiration, have a look at the Netflix research site.