Machine Learning Research Intern

Job Description

Netflix – Machine Learning Research Intern

About Netflix:

Netflix is a global entertainment powerhouse, captivating over 278 million members in 190 countries with a vast library of TV series, films, and games across diverse genres and languages. Members enjoy the freedom to watch, pause, and resume content anytime, anywhere, with the flexibility to change their plans at any time.

Job Description:

Netflix is actively reinventing the entertainment landscape, driving innovation in production, streaming technology, and personalized recommendations. The company’s Applied Machine Learning Research team focuses on enhancing various aspects of the business, including:

• Personalization algorithms: Delivering tailored recommendations to individual users.
• Search: Improving the discoverability of relevant content.
• Systems optimization: Enhancing the efficiency and scalability of Netflix’s infrastructure.
• Content valuation: Determining the value and potential of new content.
• Tooling for artists: Providing artists with advanced tools to create and share their work.
• Streaming video optimization: Ensuring high-quality streaming experiences for users.

This diverse research spans multiple Machine Learning areas, including:

• Recommender systems: Utilizing transformers, multi-modal approaches, and conversational interfaces for personalized recommendations.
• Causal inference: Understanding the impact of various factors on user behavior.
• Reinforcement learning: Leveraging human feedback and preference-based learning to improve algorithms.
• Computer vision: Advancing image and video processing and generation.
• Computer graphics: Creating visually engaging content and user experiences.
• Natural language processing: Harnessing large language models, fine-tuning, in-context learning, text generation, and embedding for diverse applications.
• Optimization: Developing efficient techniques for model inference and benchmarking.
• Operations research: Optimizing resource allocation and decision-making.
• Systems: Building robust and scalable machine learning infrastructure.

In Fall 2024, Netflix is offering a cohort of Machine Learning Research Internships for highly motivated individuals with a passion for pushing the boundaries of AI and entertainment.

Qualifications:

Must Have:

• Currently enrolled PhD or MS student in Machine Learning, or PhD graduate seeking postdoctoral research.
• Experience in at least one of the following ML areas:
• Personalization & Recommender Systems
• Natural Language Processing (NLP)
• Computer Vision (CV)
• Reinforcement Learning (RL)
• Multimodal Data
• Model Optimization and Efficiency
• Experience programming in at least one language (e.g. Python or C/C++).
• Experience developing ML models using frameworks like PyTorch, TensorFlow, or Keras, and training on GPUs.
• Demonstrated curiosity, self-motivation, and enthusiasm for tackling complex challenges.
• Excellent written and verbal communication skills.

Nice to Have:

• Publications in relevant topics at top conferences or journals.
• Experience with distributed computing environments like Spark or Presto.
• Familiarity with software engineering best practices (version control, testing, code review).

Application Process:

• Submit your application on Netflix’s careers site.
• Complete an Airtable form (sent within 1-5 business days).
• Include a Resume or CV with complete contact information and a list of relevant coursework and publications.
• Select one ML area for your potential internship within the Airtable form.
• Provide a short (max one page) statement describing your research experiences, interests, and (optionally) their relevance to Netflix Research.

Internship Details:

• Personalized experience: Interns are matched with projects and teams based on their interests and skills.
• Full integration: Interns are fully embedded within their assigned teams for the summer.
• Duration: Typically 12 weeks, with start dates in September or October.
• Location: Los Gatos, CA office or Los Angeles, CA office, depending on the team.
• Compensation: Paid, with a market range of $40/hour – $110/hour (based on total compensation, team, degree, and years of education).

Join the Netflix team and help shape the future of entertainment!

Application Deadline: August 4th, 2024