Research Scientist 6, Ad Marketplace

Netflix

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$600,000–$1,066,000 / yr
Employment
Full-time
Posted
54 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $258k
This role $833k
$86k $1171k
below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $208,800–$306,234 — the blue band above. At the midpoint, this role pays about $833k versus about $258k 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 165 open roles on FindRole.

Listed pay typically runs $388,000–$619,000 across 151 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Research Scientist 6, Ad Marketplace

Role Posting Log in to save

Research Scientist 6 - Ad Marketplace 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. You will build, train, and evaluate models on large-scale production data while developing online and offline evaluation frameworks to measure impact. Key responsibilities include partnering with product teams to define optimization objectives and communicating technical decisions to stakeholders. The role requires proficiency in Python, Scala, or Java, along with deep knowledge of machine learning, optimization, auction design, pricing, and data analysis. You will solve technical problems regarding ad auction design, dynamic pricing, member ad experience, and inventory yield optimization within an in-house ad tech ecosystem.

What does a Research Scientist earn?

Median $216250 from 41 postings across 16 companies.

See salary data

Skills

Python Scala Java Machine Learning Optimization Algorithms Data Analysis Auction Design Dynamic Pricing Large-scale Production Data Ranking Bidding Targeting Offline Evaluation

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.
  • Provide technical guidance and direction to the team.
  • Optimize ad auction design, dynamic pricing, and inventory yield.

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, auction design, pricing, and data analysis techniques.
  • Experience prototyping and deploying algorithms using large-scale production data.
  • Experience in an ad optimization stack, such as targeting, ranking, or bidding.
  • Strong business acumen and the ability to translate technical results into business impact.
  • Excellent communication and collaboration skills.

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