Related skills
sql python tensorflow pytorch kafkaπ Description
- Design ML models to optimize yield, pricing, and inventory.
- Build real-time pricing algorithms for auction pricing and floor settings.
- Create feedback loops to adapt models to market conditions.
- Own data pipelines, feature stores, and real-time serving.
- Deploy models to production with low latency and high reliability.
- Collaborate with product and engineering teams and communicate tradeoffs.
π― Requirements
- 5+ years in data science, ML engineering, or quantitative research.
- 2+ years deploying ML models in programmatic advertising or ad tech.
- Deep knowledge of programmatic auctions including RTB, bidding, floor pricing.
- Production ML: real-time inference, monitoring, retraining, SLO ownership.
- Data architecture with pipelines, feature stores, and training infra.
- Strong Python and SQL; ML libs; degree: Bachelor's required; Master/PhD preferred.
π Benefits
- Medical, Dental, and Vision insurance.
- 401(k) plan with company contributions and FSAs.
- Flexible working and Responsible PTO.
- RSUs with a 3-year vesting schedule.
- Coursera subscriptions and growth courses.
- Parental leave: up to 26 weeks fully paid.
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