Machine Learning Scientist 5, Ads Demand Science

Netflix

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $466,000–$750,000 / yr
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $242k

This role $608k

$117k $818k

below market most similar roles pay here above market

This role pays more than 98% of similar roles. Most pay $202,800–$281,050 — the blue band above. At the midpoint, this role pays about $608k versus about $242k 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 5, Ads Demand Science

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As a Machine Learning Scientist 5 - Ads Demand Science, you will join the Demand Science team within Ads Data Science & Engineering to support Netflix Ads growth. You will work across machine learning models and AI agents that transform advertiser briefs into optimized, ready-to-buy media plans. Your daily responsibilities include designing and shipping production ML models and conversational AI agents, building systems to evaluate decision quality, and iterating on launched models based on performance data and seller feedback. You will utilize Python and SQL to solve ambiguous problems and partner with scientists and engineers on media planning recommendation workstreams. The role requires an advanced degree in a quantitative field and experience with operations research, AI engineering, or agentic systems to help efficiently attract and scale advertiser demand.

Skills

Machine Learning Python SQL Conversational AI Agentic Systems AI Engineering Operations Research Production ML Statistics Mathematics

What you'll do

Design and ship production ML models and conversational AI agents to parse advertiser requests.
Build systems to evaluate and improve the decision quality of agents and models over time.
Partner with scientists and engineers to ship and iterate on new media planning capabilities.
Propose approaches for ambiguous problems and drive them from initial idea to production.
Iterate on launched models and agents based on performance data and seller feedback.
Communicate technical and non-technical information clearly to various stakeholders.

What we're looking for

Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field.
Experience building and shipping ML models or systems in production.
Proficiency in Python and SQL.
Ability to design and ship production ML models and conversational AI agents.
Ability to communicate clearly with both technical and non-technical stakeholders.
Experience with operations research (preferred).
Experience with AI engineering or agentic systems (preferred).