Research Scientist L5, Algorithms Engineering

One of the world's leading entertainment services with 270 million paid memberships in over 190 countries enjoying series, films and games.
$100,000 - $720,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Entertainment

Description For Research Scientist L5, Algorithms Engineering

Netflix, a global entertainment leader with 270M+ subscribers, seeks a Research Scientist L5 for their Algorithms Engineering team. This role combines cutting-edge machine learning research with practical implementation, focusing on personalization and content discovery. The position requires expertise in ML algorithms, strong coding skills, and industrial research experience. You'll work on large-scale problems, conducting experiments and implementing solutions that directly impact millions of users. The role offers competitive compensation ($100K-$720K), comprehensive benefits, and the opportunity to work with world-class teams in Netflix's unique culture. Ideal candidates will have 5+ years of experience, advanced degrees, and a proven track record in applied ML research.

Last updated 5 days ago

Responsibilities For Research Scientist L5, Algorithms Engineering

  • Conduct applied research by conceptualizing, designing, implementing, and validating potential algorithmic improvements
  • Research and apply cutting edge machine learning algorithms
  • Run offline experiments
  • Build online A/B tests to run in production systems
  • Collaborate in multi-disciplinary teams
  • Handle ambiguity and set priorities
  • Execute in a dynamic environment

Requirements For Research Scientist L5, Algorithms Engineering

Python
Java
Scala
  • PhD or Masters in Computer Science, Statistics, or a related field
  • 5+ years of applied research experience with track record of delivering quality results
  • Experience in applied research in industrial settings
  • Expertise in machine learning spanning supervised, self-supervised, and bandit learning methods
  • Strong mathematical and problem-solving skills with knowledge of statistical methods
  • Excellent software engineering skills in Python along with Scala or Java or C++ or C#
  • Experience in Recommendations, Personalization, long-term reward modeling, Bandits, Transformers
  • Great interpersonal skills including strong written and verbal communication

Benefits For Research Scientist L5, Algorithms Engineering

401k
Medical Insurance
Mental Health Assistance
Parental Leave
Vision Insurance
Dental Insurance
  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • 35 days annually for paid time off (hourly employees)
  • Flexible time off (salaried employees)

Interested in this job?

Jobs Related To Netflix Research Scientist L5, Algorithms Engineering

Machine Learning Software Engineer (L5) - Content and Studio

Senior Machine Learning Software Engineer position at Netflix, focusing on algorithm development and implementation for content localization, offering competitive compensation and comprehensive benefits.

Machine Learning Software Engineer L4/L5

Machine Learning Software Engineer position at Netflix focusing on developing and scaling ML algorithms for personalization systems.

Software Engineer L5 - Data and Feature Infrastructure, Machine Learning Platform

Staff Software Engineer position at Netflix focusing on building ML data and feature infrastructure to power machine learning models across various domains.

Research Scientist L4/L5, Algorithms Engineering

Senior Research Scientist position at Netflix focusing on machine learning and algorithms engineering, offering competitive compensation and remote work opportunities.

Software Engineer L5, Model Observability & Lifecycle Management, Machine Learning Platform

Staff Software Engineer position at Netflix focusing on ML platform development, observability, and lifecycle management, offering remote work and competitive compensation.