Machine Learning Engineer 5 - Ads Measurement

Skills & experience we’re seeking

• Experience building advertising measurement products (e.g., Brand Lift, Conversion lift and attribution measurement, advertiser A/B testing, Measurement Intelligence).
• Experience building and operating production machine learning systems at scale.
• Experience productionizing machine learning models and partnering closely with Data Scientists.
• Strong software engineering skills building scalable backend services and data pipelines.
• Proficiency in Java, Python, or Scala.

Nice to haves

• Experience with causal inference, experimentation, or marketing science.
• Experience with streaming and large-scale data processing (e.g., Spark, Flink).
• Experience with MLOps, model serving, and production ML operations.
• Experience building customer-facing analytics or measurement platforms.
• Experience working in the AdTech or MarTech ecosystem.

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 $466,000.00 - $750,000.00.

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.