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.

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.

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

Machine Learning Engineer 5 – Ads Inventory Management, Forecasting

Key skills