Machine Learning Research Intern
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Job Description
Netflix Machine Learning Research Internship
About Netflix:
Netflix is a global entertainment giant, streaming TV series, films, and games to over 278 million paid members in 190 countries. The company is renowned for its innovative approach to entertainment, revolutionizing the way shows and movies are produced and delivered to viewers. Netflix is committed to pushing technological boundaries and providing personalized entertainment experiences to its vast audience.
Job Description:
Netflix’s Applied Machine Learning Research team focuses on improving various aspects of the business, including:
• Personalization algorithms: Tailoring content recommendations to individual user preferences.
• Search: Making it easier for members to find the content they want.
• Systems optimization: Improving the efficiency of Netflix’s streaming infrastructure.
• Content valuation: Assessing the quality and potential success of new content.
• Tooling for artists: Providing artists with the tools they need to create compelling content.
• Streaming video optimization: Ensuring smooth and high-quality video streaming for all members.
This research spans a wide range of Machine Learning areas, including:
• Recommender Systems: Building personalized recommendations using transformers, multimodal data, and conversational AI.
• Natural Language Processing (NLP): Utilizing Large Language Models (LLMs) for tasks like text generation, fine-tuning, and in-context learning.
• Computer Vision (CV): Processing and generating images and videos for diverse applications.
• Reinforcement Learning (RL): Implementing preference-based learning and reinforcement learning from human feedback.
• Multimodal Data: Integrating text, image, video, and other data for a richer user experience.
• Model Optimization and Efficiency: Optimizing models for efficient inference, benchmarking, and overall performance.
In Fall 2024, Netflix is seeking talented Machine Learning Research interns to join their team.
Responsibilities:
• Contribute to cutting-edge research projects within a specific ML area.
• Develop and implement machine learning models using frameworks like PyTorch, TensorFlow, or Keras.
• Train models on GPUs and optimize their performance.
• Collaborate with experienced researchers and engineers.
• Participate in discussions and presentations on research findings.
Qualifications:
• Must Have:
• Currently enrolled PhD or MS student in Machine Learning or recent PhD graduate seeking a postdoctoral research position.
• Experience in at least one of the ML areas mentioned above.
• Proficiency in programming languages like Python or C/C++.
• Experience building ML models using common frameworks.
• Strong analytical skills and a passion for solving challenging problems.
• Excellent communication and collaboration skills.
• Nice To Have:
• Publications in top conferences or journals.
• Experience with distributed computing environments like Spark or Presto.
• Familiarity with software engineering best practices.
Internship Details:
• Paid internship lasting 12 weeks, starting in September or October.
• Located in Los Gatos, CA, or Los Angeles, CA.
• Opportunity to work on real-world projects and make a tangible impact.
Application Process:
1. Apply through the Netflix careers site.
2. Complete the Airtable form (sent within 1-5 business days) and select your preferred ML area.
3. Include a resume or CV with contact information and relevant coursework/publications.
4. Submit a short statement (maximum one page) outlining your research experiences, interests, and (optionally) their relevance to Netflix Research.
Deadline: August 4th, 2024
Diversity and Inclusion:
Netflix is an equal opportunity employer committed to fostering a diverse and inclusive workplace.
Compensation:
The internship offers a competitive hourly rate ranging from $40/hour to $110/hour, depending on location, degree, and experience.
To learn more about Netflix culture and apply for this exciting opportunity, visit the Netflix careers site.
