Machine Learning Scientist 5 - Ads Demand Science

Netflix•Remote, OR

3d•$466,000 - $750,000

About The Position

The Demand Science team within Ads Data Science & Engineering plays a crucial role in Netflix Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand. As a machine learning scientist in Media Planning, you'll work across the ML models and AI agents that turn advertiser briefs into optimized, ready-to-buy media plans. We're looking for a generalist who's curious, motivated to learn, and eager to build alongside the rest of the team, not someone who's already settled into one corner of ML.

Requirements

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.
Curious and motivated to learn across ML domains, not attached to a single specialty.
Strong collaborator who's energized by building alongside others, not just independently.
Comfortable with ambiguity, able to take ownership with minimal oversight.
Proficient in Python and SQL.
Enthusiastic about and compatible with Netflix culture.

Nice To Haves

Experience with operations research.
Experience with AI engineering or agentic systems.

Responsibilities

Design and ship production ML models and conversational AI agents that parse advertiser requests and help sellers plan and compare media plan options.
Build and evolve the systems that evaluate and improve agent and model decision quality over time.
Partner with scientists and engineers across the media planning recommendation and agent workstreams to ship and iterate on new capabilities.
Dig into ambiguous problems, propose approaches, and drive them from idea to production.
Iterate on launched models and agents based on performance data and seller feedback.
Communicate clearly with both technical and non-technical stakeholders.