4 days ago

Machine Learning Engineer 5 - Ads Measurement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Build scalable machine-learning platforms and services that power Netflix’s advertising measurement, including Brand Lift, Incrementality, Attribution, and Measurement Insights. Develop distributed data processing systems and ML-powered solutions that enable accurate, privacy-safe, and scientifically rigorous measurement. Partner with data scientists to productionize models and create backend services and data pipelines, helping monetize a new ad-supported tier for connected TV advertising.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop scalable platforms and services for advertising measurement across Netflix ad products.
•Build distributed data processing systems supporting ML-powered measurement solutions.
•Deliver measurement capabilities such as Brand Lift, Incrementality, Attribution, and Measurement Insights.
•Ensure measurement outputs are privacy-safe and scientifically rigorous.
•Collaborate with data scientists to productionize models and build the necessary backend services and data pipelines.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisabilityFlexible SpendingPaid Leave

Key Requirements

•Experience building advertising measurement products such as Brand Lift, conversion lift, attribution measurement, and A/B testing.
•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.

Experience:AdTechMarTech

Tech Stack:JavaPythonScalaSparkFlinkMLOpsModel serving

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Netflix

4 days ago

Machine Learning Engineer 5 - Ads Measurement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop scalable platforms and services for advertising measurement across Netflix ad products.
•Build distributed data processing systems supporting ML-powered measurement solutions.
•Deliver measurement capabilities such as Brand Lift, Incrementality, Attribution, and Measurement Insights.
•Ensure measurement outputs are privacy-safe and scientifically rigorous.
•Collaborate with data scientists to productionize models and build the necessary backend services and data pipelines.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisabilityFlexible SpendingPaid Leave

Key Requirements

•Experience building advertising measurement products such as Brand Lift, conversion lift, attribution measurement, and A/B testing.
•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.

Experience:AdTechMarTech

Tech Stack:JavaPythonScalaSparkFlinkMLOpsModel serving

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor