Note: The job is a remote job and is open to candidates in USA. Netflix is an entertainment company developing advertising systems for its ad-supported tier. The Machine Learning Engineer will build and deploy machine learning models, inference infrastructure, user and contextual signals, and audience-targeting features for low-latency, large-scale advertising systems while supporting privacy and advertiser outcomes.
Responsibilities
- 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
- 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
Skills
- 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
- 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
Benefits
- 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
- Life and Serious Injury Benefits
- 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
Company Overview
Company H1B Sponsorship