Machine Learning Internship, Netflix

• 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

Desirable

• Applied Machine Learning Research at Netflix improves various aspects of our business, including personalization algorithms, search, systems optimization, content valuation, tooling for artists, and streaming video optimization
• As such, our research spans many Machine Learning areas, including recommender systems, causal inference, reinforcement learning, computer vision, computer graphics, image and video processing, natural language processing, optimization, operations research and systems
• Great applied research also requires great Machine Learning infrastructure, another large area of emphasis at Netflix
• In Fall 2024, Netflix will be hosting a cohort of of Machine Learning Research interns within a specific set of areas listed below
• Typically a duration of 12 weeks, with a choice of a few fixed start dates in September or October to accommodate varying program calendars

• 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
• Application Deadline: August 4th, 2024