Machine Learning Engineer 5 - Ads Signals & Targeting

• Experience in building end-to-end ML model deployment and inference infra for low-latency real-time ad systems.
• Experience building machine learning models for ads targeting and lookalike expansion.
• Professional experience in designing and building user and contextual signals and audience targeting features for ad platforms.
• Proficiency in Java, C++, Python, or Scala with a solid understanding of multi-threading and memory management.
• Experience in handling data at extremely large volumes with big data tools like Spark.
• Collaborate with cross-functional stakeholders from the science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scale

Nice to haves:

• Strong understanding of data privacy, governance, and security concepts, including Privacy by Design principles.
• Experience with ads targeting using machine learning models.
• Experience working in the CTV space and knowledge of its unique constraints.

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.

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

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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.

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