Machine Learning Scientist 6, Ads Member Understanding

Netflix

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Los Angeles, CANew York, NYLos Gatos, CA
Salary: $600,000–$1,066,000 / yr
Employment: Full-time
Posted: 52 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $240k

This role $833k

$79k $1172k

below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $208,762–$270,500 — the blue band above. At the midpoint, this role pays about $833k versus about $240k 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 161 open roles on FindRole.

Listed pay typically runs $388,000–$630,000 across 147 roles with salary data.

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At a glance

TL;DR · Machine Learning Scientist 6, Ads Member Understanding

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The Machine Learning Scientist 6 joins the Ad Ranking organization within Ads Data Science and Engineering to lead the user understanding charter. This role involves setting the technical direction for building a user-understanding foundation by leveraging multimodal signals from content, viewing behavior, and context. The successful candidate will build models and representations to serve as a feature foundation for ad targeting, ranking, and bidding. Key responsibilities include shaping data strategies for first-party and third-party data, partnering with privacy and engineering teams, and developing rigorous online and offline evaluation frameworks. The role requires proficiency in Python, Scala, or Java, along with experience in LLM techniques, embeddings, and representation learning. This work directly addresses the technical challenge of identifying and reaching deeply engaged audiences within an ad-supported streaming ecosystem.

Skills

Machine Learning LLM Python Scala Java Representation Learning Embeddings Production ML Systems Data Strategy Identity Resolution Offline Evaluation Multimodal Signals

What you'll do

Set the technical direction for user understanding by leveraging multimodal signals from content, viewing behavior, and context.
Shape and land the data strategy for the team by partnering with privacy, legal, and platform engineering.
Integrate user-understanding signals into production systems for ranking, bidding, and pacing.
Build rigorous online and offline evaluation frameworks to quantify the incremental value of new signals and models.
Apply LLM techniques to user modeling, content understanding, and recommendation systems.
Communicate technical strategy, trade-offs, and results to both technical and non-technical audiences including senior leadership.
Prototype and deploy machine learning models on large-scale production data using Python, Scala, or Java.

What we're looking for

Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent industry experience.
7+ years of industry experience building and shipping production ML systems at scale with staff/senior-staff-level scope and impact.
Track record building user or audience understanding systems such as embeddings, representation learning, or identity resolution.
Hands-on experience applying LLMs to user modeling, content understanding, or recommendation systems.
Proficiency in Python, Scala, or Java with experience prototyping and deploying models on large-scale production data.
Influence 1P/3P data strategy, privacy-aware data usage, or identity/targeting infrastructure (preferred).
Track record of setting technical direction and influencing roadmaps across teams as a vertical or cross-functional technical lead (preferred).
Strong business acumen and excellent communication and cross-functional collaboration skills.