Machine Learning Scientist 5, Sales, Ads DSE

Netflix

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $466,000–$750,000 / yr
Employment: Full-time
Posted: 26 days ago
Freshness: Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $236k

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 $201,250–$270,500 — the blue band above. At the midpoint, this role pays about $608k versus about $236k 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, Sales, Ads DSE

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The Machine Learning Scientist 5 - Sales, Ads DSE joins the Demand Science team within Ads Data Science & Engineering. As the ML lead for Sales productivity and automation, you will own the technical vision and execution to help sellers work smarter and scale revenue. You will identify high-leverage opportunities, define the AI/ML investment roadmap, and build production ML models, AI agents, and automation systems end-to-end. Key responsibilities include automating high-friction workflow points and designing AI-augmented selling tools to assist with RFPs and client conversations. You will use Python and SQL to build ML pipelines and models. The role requires an advanced degree in a quantitative field and the ability to translate business objectives into technical solutions within the ad sales domain.

Skills

Machine Learning Python SQL LLMs AI Agents Data Science Workflow Automation Production ML Statistics Mathematics

What you'll do

Define the AI/ML investment roadmap for the Sales pod to improve productivity and revenue outcomes.
Design, build, and deploy production ML models, AI agents, and automation systems end-to-end.
Identify and automate high-friction points in the Sales workflow to reduce manual work and delays.
Develop AI agents to assist sellers with client conversations, RFP responses, and closing deals.
Partner with Analytics Engineers to build metrics, measurement pipelines, and performance reporting.
Iterate on launched products based on performance data and direct feedback from sellers.
Serve as the senior technical voice in cross-functional discussions with 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.
Track record of independently scoping and leading end-to-end ML projects in production environments.
Ability to translate business objectives into a prioritized technical roadmap.
Proficiency in Python and SQL for building ML pipelines and models.
Excellent communication skills for interacting with both technical and non-technical audiences.
Experience with LLMs, AI, or agentic systems (preferred).

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