Netflix-posted 9 months ago
$100,000 - $720,000/Yr
Full-time
Broadcasting and Content Providers

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged. Our Team The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that's thoughtful of our member's viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them. Ads Inventory Management & Forecasting team builds state-of-art realtime inventory forecasting solution leveraging ML models and high performance ad server simulations. The team also builds systems that enable publisher inventory management solutions, which supports various monetization strategies such as dynamic pricing, rate card management, product packaging, inventory split and yield optimization. Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that's rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time. We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.

  • Build sophisticated ads forecasting systems involving ML models and high performance ad server simulation.
  • Develop publisher inventory management solutions supporting monetization strategies such as dynamic pricing and rate card management.
  • Handle data at extremely large volumes using big data tools like Spark.
  • Build high throughput low latency distributed systems utilizing big data.
  • Optimize fill rates and maximize revenue in the context of inventory management.
  • Develop cloud-based applications using modern programming languages.
  • Conduct A/B testing and experimentation.
  • Collaborate with cross-functional teams to drive large and complex projects.
  • Professional experience in building sophisticated ads forecasting systems.
  • Experience in building publisher inventory management solutions.
  • Proven experience in handling large volumes of data with big data tools.
  • General understanding of the advertising marketplace and publisher side challenges.
  • Developed cloud-based applications and comfortable with modern programming languages.
  • Familiarity with A/B testing and experimentation.
  • Experience working with cross-functional teams.
  • Experience in productionizing ML models and deploying models at scale.
  • Contributed to an ads industry technology standard (e.g VAST, OpenRTB).
  • Familiarity with legal compliance and changing landscape of ads regulations.
  • Experience working in the CTV space and knowledge of its unique constraints.
  • Health Plans
  • Mental Health support
  • 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
  • 35 days annually for paid time off for full-time hourly employees
  • Flexible time off for full-time salaried employees
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service