Machine Learning Scientist 5 - Ad Ranking
Netflix
At a glance
AI generatedThe Ad Marketplace team within Ads Data Science and Engineering at Netflix seeks a senior machine learning engineer to drive the growth of its ad-supported tier by building an innovative ad tech ecosystem. This role involves designing and implementing advanced algorithms to enhance ad quality and performance, training models on large-scale datasets, and developing evaluation frameworks to measure impact. The candidate will collaborate closely with product teams to align technical solutions with business goals, ensuring that decisions are communicated effectively across both technical and non-technical audiences. Ideal candidates hold an advanced degree in a quantitative field and possess deep expertise in machine learning, optimization, and data analysis, along with proficiency in Python, Scala, or Java. Experience in ad optimization, including targeting, ranking, and bidding, is highly valued as the team aims to deliver personalized and relevant ad experiences at scale.
Skills
What you'll do
What we're looking for
Market check
This $466,000–$750,000 range sits above 100% of similar postings on FindRole.
Peer median band
$140,800–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$153,363–$224,325
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 91 open roles on FindRole.
Listed pay typically runs $388,000–$610,000 across 87 roles with salary data.
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