Netflix

Machine Learning Engineer 5 – Ads Inventory Management, Forecasting

Netflix

full-time

Posted on:

Location Type: Hybrid

Location: Los GatosCaliforniaNew YorkUnited States

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Salary

💰 $466,000 - $750,000 per year

Job Level

Tech Stack

About the role

  • Build state-of-art realtime inventory forecasting solution leveraging ML models and high performance ad server simulations.
  • Build 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.
  • Ensure advertiser brand safety during serving, showing the most appropriate ads for members.
  • Differentiate from competition to become a market leader in Connected TV advertising space.

Requirements

  • Experience in building end-to-end ML model deployment and inference infra for low-latency real-time ad systems.
  • Experience in handling data at extremely large volumes with big data tools like Spark.
  • Productionized predictive models to forecast the effectiveness of advertising campaigns, including metrics like impressions, reach, clicks, conversions, and ROI.
  • Building Scalable Simulation solution to model different inventory scenarios, including demand fluctuations, pricing strategies, and inventory allocation.
  • General understanding of the advertising marketplace and landscape, with a focus on publisher side challenges like optimizing fill rates and maximizing revenue in the context of inventory management.
  • Collaborate with cross-functional stakeholders from science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scale.
Benefits
  • 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
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningreal-time systemsmodel deploymentinference infrastructurebig dataSparkpredictive modelingsimulation solutionsdata analysisinventory management
Soft Skills
collaborationcommunicationcross-functional teamworkproblem-solvingstrategic thinkingadaptabilityleadershiporganizational skillsanalytical thinkingcreativity