Machine Learning Engineer 5 - Ads Measurement at Netflix | Los Angeles, California, United States | Rezi

Machine Learning Engineer 5 - Ads Measurement at Netflix

Machine Learning Engineer 5 - Ads Measurement

Netflix · Los Angeles, California, United States

5 days ago

Machine Learning Engineer 5 - Ads Measurement

Netflix · Los Angeles, California, United States

6 days ago
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About the Role

The Ads Measurement Engineering Team builds scalable platforms and services that power advertising measurement for Netflix. The team develops distributed data processing systems and ML-powered measurement solutions for products such as Brand Lift, Incrementality, Attribution, and Measurement Insights, enabling accurate, privacy-safe, and scientifically rigorous measurement of advertising effectiveness. We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.

Responsibilities

  • Build scalable platforms and services that power advertising measurement for Netflix.
  • Develop distributed data processing systems and ML-powered measurement solutions.
  • Enable accurate, privacy-safe, and scientifically rigorous measurement of advertising effectiveness.
  • Build highly performant advertising systems.
  • Deliver high impact to the business by monetizing content.

Requirements

  • 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.

Skills

  • Java
  • Python
  • Scala
  • Causal inference
  • Experimentation
  • Marketing science
  • Streaming
  • Large-scale data processing
  • Spark
  • Flink
  • MLOps
  • Model serving
  • Production ML operations
  • Customer-facing analytics platforms
  • Measurement platforms
  • AdTech ecosystem
  • MarTech ecosystem

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • Mid-level
  • Senior

Salary/Compensations

  • $466,000.00 - $750,000.00

Benefits

  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings Accounts
  • Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • Paid leave of absence programs
  • Paid time off (35 days annually for full-time hourly employees)
  • Flexible time off (immediate entitlement for full-time salaried employees)

About the Company

  • Netflix's mission is to entertain the world.
  • We are pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.
  • We launched a new ad-supported tier in November 2022 to offer members more choice in how they consume their content.
  • Our new tier attracts new members at a lower price point and creates a compelling path for advertisers to reach engaged audiences.
  • The Ads Platform Engineering teams build advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem.
  • We use a unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata to power our ads.
  • We deliver ads thoughtfully of our member’s viewing experience and drive great outcomes for advertisers.
  • We ensure advertiser brand safety during serving and that members only see appropriate ads.
  • We are one of the newest entrants in the Connected TV advertising space that’s rapidly growing.
  • We seek to build unique value propositions that differentiate us from the competition and become a market leader in record time.

Equal Opportunity

  • We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.
  • We approach diversity and inclusion seriously and thoughtfully.
  • We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.