Research Scientist 5/6 – AI for Member Systems

Netflix

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$466,000–$750,000 / yr
Posted
140 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $608k
$113k most similar roles pay here $818k

This role pays more than 99% of similar roles. Most pay $182,631–$251,750 — the shaded band above. At the midpoint, this role pays about $608k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Netflix

Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media

Netflix currently has 117 open roles on FindRole.

Listed pay typically runs $388,000–$619,000 across 113 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Research Scientist 5/6 – AI for Member Systems

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As a full-time Research Scientist in Applied Machine Learning Research at Netflix, you will drive innovation by designing, implementing, and validating advanced AI/ML solutions that enhance personalization, recommendations, search, and content understanding for billions of users globally. Your day-to-day involves exploring state-of-the-art techniques like Large Language Models (LLMs) and fine-tuning them to create production-ready systems. You should possess a strong background in AI/ML, with expertise in both supervised and unsupervised learning, and practical experience in LLM development. Proficiency in Python, TensorFlow, and PyTorch is required, along with excellent communication skills for collaboration across multi-disciplinary teams. Preferred candidates also have hands-on experience in distributed training, reinforcement learning, and contributions to open-source projects.

Skills

Python TensorFlow PyTorch LLMs supervised_learning unsupervised_learning distributed_training reinforcement_learning conversational_agents personalization cloud_computing Java Scala Spark Hive Jax Flink Hadoop

What you'll do

  • Design and implement innovative machine learning solutions to enhance personalization and recommendations.
  • Explore and apply state-of-the-art AI/ML techniques, including Large Language Models (LLMs).
  • Develop production-ready systems using cutting-edge ML models for real-world applications.
  • Conduct robust offline experimentation to validate the effectiveness of new algorithms.
  • Collaborate with multi-disciplinary teams to integrate machine learning into various Netflix services.

What we're looking for

  • Ph.D. or Master’s in Computer Science or related field
  • 6+ years of research experience with a track record of delivering quality results
  • Deep expertise in machine learning, including supervised and unsupervised learning
  • Practical experience in developing Large Language Models (LLMs)
  • Strong software engineering skills in Python, TensorFlow, and PyTorch
  • Excellent interpersonal, written, and verbal communication skills
  • Experience applying LLMs to real-world challenges, including fine-tuning

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