Machine Learning Scientist 6 - Ads Member Understanding
$600,000–$1,066,000 year
RemoteUnited States or Los Angeles, California, United States
Job Summary
Set the technical direction for user understanding by leveraging multimodal signals from content, viewing behavior, and context. Shape and land Netflix's data strategy for the fast-growing Ads team, partnering with privacy, legal, and platform engineering to build a scalable data foundation. Partner with ranking, bidding, and pacing teams to integrate user-understanding signals into production and drive downstream impact. Build rigorous online and offline evaluation frameworks to quantify the incremental value of new signals, representations, and models. Communicate technical strategy, trade-offs, and results to both technical and non-technical audiences, including senior leadership. This role sits within the Ad Ranking org, focusing on identity matching, audience targeting, and relevance prediction to support the new ad-supported tier.
Required Qualifications
- Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent industry experience
- 7+ years of industry experience building and shipping production ML systems at scale, with demonstrated staff/senior-staff-level scope and impact
- Track record building user or audience understanding systems - embeddings, representation learning, identity resolution, or similar
- Hands-on experience applying LLM to user modeling, content understanding, or recommendation
- Proficiency in Python, Scala, or Java, and experience prototyping and deploying models on large-scale production data
- Strong business acumen and the ability to translate technical results into business impact
- Excellent communication and cross-functional collaboration skills
Desired Qualifications
- Influence 1P/3P data strategy, privacy-aware data usage, or identity/targeting infrastructure
- A track record of setting technical direction and influencing roadmap across teams
- Experience as a vertical or xfn technical lead
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