Machine Learning Scientist 6 – Ads Member Understanding

Posted Aug 19

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Establish the technical vision for user comprehension by utilizing multimodal signals derived from content, viewing habits, and contextual factors.

• Develop and implement Netflix's data strategy for an expanding team.

• Collaborate with privacy, legal, and platform engineering teams to create a robust data infrastructure.

• Work alongside ranking, bidding, and pacing teams to integrate user-understanding signals and enhance downstream impact.

• Create comprehensive online and offline evaluation frameworks to measure the incremental value of signals, representations, and models.

• Present the technical strategy, trade-offs, and outcomes to both technical and non-technical stakeholders, including senior leadership.


⛳️ Requirements

• An advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or a related quantitative discipline, or equivalent professional experience.

• Over 7 years of industry experience in developing and deploying production ML systems at scale, demonstrating staff/senior-staff-level impact and scope.

• Proven history of building user or audience understanding systems, including embeddings, representation learning, identity resolution, or similar, preferably in a monetization or advertising context.

• Practical experience in applying LLM for user modeling, content comprehension, or recommendation.

• Strong business insight and the capability to convert technical outcomes into business results.

• Experience in prototyping and implementing models on large-scale production datasets.

• Proficiency in Python, Scala, or Java.

• History of establishing technical direction and influencing roadmaps across teams.

• Exceptional communication and collaborative skills across different functions.


🏝️ Benefits

• Health Plans

• Mental Health support

• 401(k) Retirement Plan with employer match

• Stock Option Program

• Disability Programs

• Health Savings and Flexible Spending Accounts

• Family-forming benefits

• Life and Serious Injury Benefits

• Paid leave of absence programs

• Full-time hourly employees earn 35 days annually for paid time off, applicable for vacations, holidays, and sick leave.

• Full-time salaried employees have immediate access to flexible time off.

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