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Machine Learning/AI Scientist Intern - PhDNetflixUnited States

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Machine Learning/AI Scientist Intern - PhD

Netflix
  • US
    United States
  • US
    United States

À propos

Join Netflix, a global leader in entertainment, with over 300 million paid memberships across 190 countries. Our innovative approach allows members to enjoy TV series, films, and games at their convenience, changing plans as they see fit. As a Machine Learning Research Intern, you will contribute to critical advancements in personalization algorithms, member insights, creative tools, system optimization, and more. Our research encompasses fields like recommender systems, reinforcement learning, computer vision, natural language processing, and operational research. A robust ML infrastructure is essential at Netflix, and you will play a key role in enhancing it. We are searching for passionate candidates suitable for various teams, including Content, Choosing & Conversation, Commerce, or AI for Member Systems. If your skills align with one or more of these domains, please indicate your interests when applying. Qualifications: Currently enrolled in a PhD program in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Economics, Computational Biology, Chemistry, Physics, Cognitive Science, or a related field. Expertise in one or more areas such as: Personalization & Recommender Systems:
Familiarity with Transformers, collaborative filtering, content-based recommendations, and hybrid systems. Natural Language Processing (NLP):
Experience with Large Language Models, fine-tuning, prompt engineering, and text generation. Reinforcement Learning (RL):
Understanding of offline and online RL, preference-based learning, and bandit algorithms. Computer Vision (CV):
Skills in image and video processing and representation learning. Computer Graphics:
Knowledge in 3D modeling, neural rendering, and animation. Reliable ML:
Focus on robustness and interpretability. Causal ML:
Familiarity with causal inference and policy learning. Agentic AI:
Experience in reasoning and autonomous system development. Multimodal Data:
Handling text, images, videos, and audio integration. Model Optimization and Efficiency:
Skills in improving training and inference efficiency. ML Platform & Infrastructure:
Knowledge of scalable ML systems and data pipelines. General ML Application Engineering:
Experience with end-to-end ML solutions. Proficient in at least one programming language (Python, Java, Scala, or C/C++). Experience with ML frameworks (e.g., PyTorch, TensorFlow) and training on GPUs. Familiar with distributed training paradigms and associated frameworks. Knowledge of end-to-end ML pipelines and common challenges. Self-motivated, curious, and eager to tackle challenges at Netflix. Strong communication skills, both oral and written. Preferred: Comfort with distributed computing environments like Spark. Understanding software engineering best practices (e.g., version control, testing). Application Details: Submit your resume/CV with contact information and a list of relevant coursework and publications. Include a short statement on your research experiences and interests. After submitting your application, complete an Airtable form to finalize your application. Applications will be reviewed on a rolling basis, so apply early. The application will remain open until positions are filled. About the Internship: At Netflix, we strive to create a personalized experience for our interns. You will be embedded within teams that match your skills and interests, working on projects that reflect real work at Netflix. Internships last a minimum of 12 weeks, starting in January, May, or June 2026, at our headquarters in Los Gatos, CA. The internship is open to students who will return to school afterward. Offers for returning employment are based on business needs and not guaranteed. Compensation for internships is competitive, typically ranging from $40 to $85 per hour, depending on various factors including your skills and local market conditions. Netflix values diversity and inclusion. We welcome applicants from all backgrounds and are committed to providing reasonable accommodations during the hiring process. The position will remain open for a minimum of 7 days or until filled.
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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