Machine Learning Scientist 6 - Ads Member Understanding

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

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 - 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.

Pay and benefits

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $600,000.00 - $1,066,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits here.

Netflix is a unique culture and environment.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully.

Job is open for no less than 7 days and will be removed when the position is filled.