Machine Learning Scientist 6 - Ads Member Understanding

Set the technical direction for user understanding by leveraging multimodal signals - from content, viewing behavior, and context. Partner with the ranking, bidding & pacing teams to get 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 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 - ideally in a monetization or ads context. Hands-on experience applying LLM to user modeling, content understanding, or recommendation, with good judgment on where these approaches beat traditional methods. Influence 1P/3P data strategy, privacy-aware data usage, or identity/targeting infrastructure is a strong plus. A track record of setting technical direction and influencing roadmap across teams; experience as a vertical or xfn technical lead is a strong plus. 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.