Machine Learning Scientist L6, Live Ads

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
62 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $237k
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 $202,800–$270,500 — the blue band above. At the midpoint, this role pays about $833k versus about $237k 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.

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At a glance

TL;DR · Machine Learning Scientist L6, Live Ads

Role Posting Log in to save

The Machine Learning Scientist (L6) - Live Ads joins the Ad Supply & Decisioning team within the Ads Data Science and Engineering organization. As a vertical technical lead, you will define the machine learning technical roadmap in partnership with the Live Ads product team. Your daily responsibilities include architecting and delivering solutions for forecasting, targeting, personalization, bidding, pacing, auction, and yield optimization. You will design, implement, and evaluate machine learning and optimization algorithms using large-scale production data. The role requires proficiency in Python, Scala, or Java, along with deep knowledge of data analysis and ad optimization stacks. You will solve complex problems involving massive traffic spikes, global simultaneous delivery, and hard real-time latency constraints for live events like sports and award shows.

Skills

Machine Learning Python Scala Java Optimization Algorithms Data Analysis Production ML Systems Forecasting Targeting Personalization Bidding Auction Yield Optimization Offline Evaluation

What you'll do

  • Define and drive the ML technical roadmap in partnership with the Live Ads product team.
  • Architect and deliver ML solutions for forecasting, targeting, bidding, and yield optimization.
  • Design and implement machine learning and optimization algorithms to improve ad quality.
  • 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 and trade-offs that align with product and business goals.
  • Communicate technical decisions and experiment results to technical and non-technical stakeholders.

What we're looking for

  • Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 7+ years of industry experience building and shipping production ML systems at scale.
  • Demonstrated staff or senior staff-level scope and impact in a technical leadership role.
  • Deep knowledge of machine learning, optimization, and data analysis techniques.
  • Experience in ad optimization stack, such as targeting, ranking, and bidding.
  • Proficiency in Python, Scala, or Java.
  • Experience in Live ads (preferred).
  • Experience serving as a vertical or staff-level technical lead (preferred).

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