Netflix is looking for Machine Learning Engineers to help design, build, and deploy machine learning models and systems that power personalized recommendations, content optimization, search, streaming quality, and other data-driven features across the Netflix platform.
Requirements
- Practical experience in supervised and/or unsupervised machine learning, data science methods, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.
- Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).
- Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability.
- Practical experience with programming and machine learning, evidenced by projects, classwork, or research.
- Proficiency or familiarity with languages such as Python, Java, Scala, or Spark
- Experience with ML frameworks and libraries such as Pandas, NumPy, or Scikit-learn
- Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).
Responsibilities
- design, build, and deploy machine learning models and systems
- develop and maintain scalable ML pipelines and infrastructure
- collaborate with data scientists, product managers, and engineers to translate business needs into ML solutions
- experiment with new algorithms and techniques to improve user experience and operational efficiency
- Practical experience in supervised and/or unsupervised machine learning, data science methods, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.
- Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability.
- Practical experience with programming and machine learning, evidenced by projects, classwork, or research.
Other
- Currently enrolled student pursuing an advanced degree (Master’s or PhD) in areas such as Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Computational Biology, Chemistry, Physics, Cognitive Science or a related field
- Curious, self-motivated, and excited about solving open-ended challenges at Netflix.
- Great communication skills, both oral and written.
- Intent to return to your degree-program after the completion of the internship.
- Internships are paid and are a minimum of 12 weeks, with a choice of fixed start dates in January 2026 (Winter), May or June 2026 (Summer) to accommodate varying school calendars.
