Machine Learning Scientist 5, Markeplace - Ads DSE
Netflix
At a glance
AI generatedThe Ad Ranking team within Netflix’s Ads Data Science and Engineering organization seeks a Senior Machine Learning Engineer to drive the development of an advanced ad tech ecosystem. This role involves designing and implementing machine learning algorithms to enhance ad quality and performance by leveraging both internal and external data signals. Day-to-day responsibilities include building, training, and evaluating models on large-scale production data, developing evaluation frameworks, and collaborating with product teams to align technical solutions with business goals. The ideal candidate holds an advanced degree in a quantitative field and possesses deep expertise in machine learning, optimization, and data analysis. Proficiency in Python, Scala, or Java is essential, along with experience in ad optimization technologies such as targeting, ranking, and bidding. This role aims to deliver highly relevant ad experiences for Netflix members while achieving significant business outcomes for advertisers.
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
$145,250–$225,100
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$156,500–$226,390
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.
Most-posted roles
More like this
Netflix
Qualcomm
The Walt Disney Company
Shopify
Booz Allen Hamilton
Adobe