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Netflix ML Engineer L5 - Ads Platform Engineering United States, Oregon 695660917
23.06.2024
Experience & Skills:
- Publisher-side ad tech systems including ad servers, bidders, yield optimizers, and their demand-side counterparts (SSPs/DSPs)
- Bringing complex models to life in low-latency real-time advertising environments
- Budgeting and Pacing systems, models, and algorithms
- Yield Optimization, scoring, and bid ranking models and Dynamic Allocation of direct/programmatic guaranteed and non-guaranteed inventory
- Modeling and Building Cost Per Click, Cost Per View, and Cost Per Video Complete modeling and optimization
- Applying Modeling and machine learning techniques for business problems at the intersection of product, data science, and engineering
- Collaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scale
Nice to Haves:
- Contributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, or working group.
- Familiarity with legal compliance and the changing landscape of ad regulations around the world.
- Experience working in the CTV space and knowledge of its unique constraints
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 $100,000- $720,000.
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