Related skills
sql machine learning roas budget allocation auction optimizationπ Description
- Own end-to-end ML models for ads bidding, from framing to deployment and measurement.
- Build models for auction optimization, bid shading, budget allocation, pacing, and ROAS.
- Define bidding and pacing strategies balancing advertiser performance, health, and economics.
- Help define the Ads Data team's roadmap and technical culture.
- Collaborate with ML engineers who have shipped ML at top tech companies.
π― Requirements
- 4+ years of ML experience solving real-world problems in ads/marketplace optimization.
- Ownership of full ML lifecycle: design through deployment and A/B testing.
- Strong programming skills.
- Experience with relational databases and SQL.
- Ability to drive team strategy and lead model development independently.
- Strong communication and collaboration skills.
π Benefits
- Equity and comprehensive benefits.
- Hybrid schedule: in-office 3 days/week; remote up to 4 weeks/year.
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