Netflix · 3 months ago
Machine Learning/AI Scientist Intern (PhD), 2026
Los Angeles
Internship
Onsite
Intern
$40/hr - $85/hr
Start in 2026 WinterNetflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries. The Machine Learning Research team at Netflix focuses on improving various aspects of the business through advanced machine learning techniques, including personalization algorithms and system optimization.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
Currently enrolled student pursuing an advanced degree (PhD) in areas such as Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Economics, Computational Biology, Chemistry, Physics, Cognitive Science or a related field
Domain expertise in one or more of the following areas: Personalization & Recommender Systems, Natural Language Processing (NLP), Reinforcement Learning (RL), Computer Vision (CV), Computer Graphics, Reliable ML, Causal ML, Agentic AI, Multimodal Data, Model Optimization and Efficiency, ML Platform & Infrastructure, General ML Application Engineering
Experience programming in at least one programming language (Python, Java, Scala, or C/C++)
Familiarity developing ML models using common frameworks (e.g., PyTorch, TensorFlow, Keras) and training on GPUs
Familiarity with distributed training and inference paradigms and associated frameworks (eg. DDP, FSDP, HSDP, Deepspeed)
Familiarity with end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability
Curious, self-motivated, and excited about solving open-ended challenges at Netflix
Great communication skills, both oral and written
Comfortable with distributed computing environments such as Spark or Presto
Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.)
Qualification
Required
Currently enrolled student pursuing an advanced degree (PhD) in areas such as Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Economics, Computational Biology, Chemistry, Physics, Cognitive Science or a related field
Domain expertise in one or more of the following areas: Personalization & Recommender Systems, Natural Language Processing (NLP), Reinforcement Learning (RL), Computer Vision (CV), Computer Graphics, Reliable ML, Causal ML, Agentic AI, Multimodal Data, Model Optimization and Efficiency, ML Platform & Infrastructure, General ML Application Engineering
Experience programming in at least one programming language (Python, Java, Scala, or C/C++)
Familiarity developing ML models using common frameworks (e.g., PyTorch, TensorFlow, Keras) and training on GPUs
Familiarity with distributed training and inference paradigms and associated frameworks (eg. DDP, FSDP, HSDP, Deepspeed)
Familiarity with end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability
Curious, self-motivated, and excited about solving open-ended challenges at Netflix
Great communication skills, both oral and written
Preferred
Comfortable with distributed computing environments such as Spark or Presto
Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.)
Benefits
Internships are paid and are a minimum of 12 weeks
Fixed start dates in January 2026 (Winter), May or June 2026 (Summer)
Conversion or return offers are based on business need and headcount, and are not guaranteed.
Company
Netflix
Netflix is an online streaming platform that enables users to watch TV shows and movies.
Founded in 1997
10001+ employees
H1B Sponsorship
Netflix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)
Funding
Current Stage
Public CompanyTotal Funding
$63.91BKey Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $59B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M
Leadership Team
Gregory Peters
Co-CEO
Ted Sarandos
Co-CEO
Recent News
2026-01-13
2026-01-13
2026-01-13
Company data provided by crunchbase