Research Scientist V, Marketplace - Ads

Netflix

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$466,000–$750,000 / yr
Posted
66 days ago
Freshness
Confirmed live 2 days ago
Closes
Oct 9, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $232k
This role $608k
$117k most similar roles pay here $818k

This role pays more than 99% of similar roles. Most pay $194,218–$270,500 — the shaded band above. At the midpoint, this role pays about $608k versus about $232k 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 28 open roles on FindRole.

Listed pay typically runs $440,000–$750,000 across 27 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Research Scientist V, Marketplace - Ads

Research Scientist 5, Marketplace - Ads DSE joins the Ad Marketplace team within Ads Data Science and Engineering to build a healthy, competitive, and innovative ad marketplace. This role involves designing and implementing machine learning and optimization algorithms to improve ad quality and performance while building, training, and evaluating models on large-scale production data. The candidate will develop online and offline evaluation frameworks, partner with product teams to define optimization objectives, and communicate technical decisions to various stakeholders. Required skills include proficiency in Python, Scala, or Java, alongside deep knowledge of machine learning, optimization, and data analysis techniques. The role specifically addresses the ad optimization stack, including targeting, ranking, and bidding, to balance long-term revenue, member experience, and advertiser outcomes within an in-house ad tech ecosystem for a streaming service.

What does a Research Scientist earn?

Median $216250 from 42 postings across 13 companies.

See salary data

What you'll do

  • Design and implement machine learning and optimization algorithms to improve ad quality and performance.
  • Build, train, and evaluate models using large-scale production data.
  • Develop online and offline evaluation frameworks to measure the impact of model improvements.
  • Define optimization objectives, constraints, and trade-offs in partnership with the product team.
  • Communicate technical decisions and experiment results to both technical and non-technical stakeholders.
  • Drive the adoption of ML-driven solutions across the organization.

What we're looking for

  • Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Proficiency in Python, Scala, or Java.
  • Deep knowledge of machine learning, optimization, and data analysis techniques.
  • Experience prototyping and deploying algorithms using large-scale production data.
  • Experience in an ad optimization stack, including targeting, ranking, and bidding.
  • Strong business acumen to translate technical results into business impact.
  • Excellent communication and collaboration skills for interacting with both technical and non-technical stakeholders.

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