Machine Learning Manager - Localization Algorithms

Netflix

Remote

Quick summary

Work type
Remote
Location
Los Angeles, CALos Gatos, CA
Salary
$523,000–$920,000 / yr
Posted
126 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $224k
This role $722k
$82k most similar roles pay here $1010k

This role pays more than 99% of similar roles. Most pay $197,925–$249,750 — the shaded band above. At the midpoint, this role pays about $722k versus about $224k for comparable roles.

Based on 239 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 · Machine Learning Manager - Localization Algorithms

As an experienced Machine Learning leader in the Localization Data Science and Engineering team at Netflix, you will guide a talented group of Research Scientists and Engineers focused on developing advanced multimodal LLMs and audio algorithms. Your daily tasks include mentoring your team to enhance localization experiences for global members, collaborating with cross-functional partners to define strategic initiatives, and ensuring high-quality execution while fostering technical excellence. You must possess extensive experience in leading ML teams and have a proven track record of launching production ML services in multimodal LLMs and speech technologies. This role demands expertise in cutting-edge research, strong mentorship skills, and the ability to navigate complex business challenges effectively.

What you'll do

  • Lead initiatives in multimodal LLM and audio algorithms to meet Netflix’s localization goals.
  • Mentor and inspire a team of Research Scientists and Machine Learning Engineers.
  • Define strategy, plan projects, and develop talent with technical leads.
  • Set high standards for execution speed and quality while fostering excellence.
  • Uncover new opportunities and make strategic bets using cutting-edge expertise.

What we're looking for

  • Proven leadership in managing technical ML research and engineering teams focusing on multimodal LLMs, speech recognition, and generative speech.
  • Extensive experience (6+ years) or advanced degree (PhD) in Machine Learning or Computer Science with 2+ years leading ML teams.
  • Strong track record in mentoring and developing talent, including recruiting researchers and engineers at various levels.
  • Expertise in cutting-edge multimodal LLM and speech algorithm research, staying current with the latest technical developments.
  • Ability to lead through ambiguous challenges, providing clarity and structure for effective execution.
  • Exceptional communication skills for collaboration across functions and domains.

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