Note: The job is a remote job and is open to candidates in USA. Netflix is building an in-house advertising technology ecosystem for its ad-supported tier. The Machine Learning Scientist 6 will lead user understanding by leveraging multimodal signals and LLM techniques, shape data strategy, and develop machine learning foundations for ad targeting, ranking, and bidding.
Responsibilities
- 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 a fast-growing team, partnering with privacy, legal, and platform engineering to build a data foundation that scales
- 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
Skills
- 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
- Influence 1P/3P data strategy, privacy-aware data usage, or identity/targeting infrastructure is a strong plus
- Experience as a vertical or xfn technical lead is a strong plus
Benefits
- Health Plans
- Mental Health support
- A 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 accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
- Full-time salaried employees are immediately entitled to flexible time off
Company Overview
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