Machine Learning Scientist 6 – Ads Member Understanding

🕒 August 19

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $600k - $1.1M / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• 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 • Partner with privacy, legal, and platform engineering to build a scalable data foundation • Partner with ranking, bidding, and pacing teams to deploy user-understanding signals and drive downstream impact • Build rigorous online and offline evaluation frameworks to quantify the incremental value of signals, representations, and models • Communicate technical strategy, trade-offs, and results to technical and non-technical audiences, including senior leadership

🎯 Requirements

• 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, including 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 • Strong business acumen and ability to translate technical results into business impact • Experience prototyping and deploying models on large-scale production data • Proficiency in Python, Scala, or Java • Track record of setting technical direction and influencing roadmap across teams • Excellent communication and cross-functional collaboration skills

🏖️ 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 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