Applied AI / ML Scientist - Ads Bidding

Tech Stack

Responsibilities

• Own the end-to-end development of ML models across the ads bidding stack, from problem framing and solution design to deployment, experimentation, and impact measurement.
• Build best-in-class models and algorithms for auction optimization, bid shading, budget allocation, pacing, and advertiser ROI/ROAS optimization.
• Define and improve bidding and pacing strategies that balance advertiser performance, marketplace health, and platform economics.
• As an early member of the Ads Data team, help define its roadmap and technical culture, leveraging deep product intuition.
• Work in a fast-paced, collaborative environment with engineers, product managers, and designers to launch and iterate on sophisticated systems.

Benefits

• Equity
• Health Insurance
• Remote Work

Culture

Requirements