Applied Scientist, Sponsored Products Off-Search Auction
Seattle, Washington, USA
USD 142K-223K (estimate) Mid-level Full Time
Tasks
- Collaborate with scientists, engineers, and product managers
- Contribute to generative ai model design
- Deploy models to production environments
- Design multi objective optimization and reinforcement learning systems
- Develop deep learning solutions for ad retrieval and auctions
- Implement best in class algorithms and experimentation infrastructure
- Lead ads ranking and retrieval experiments
- Mentor junior scientists and engineers
- Stay current with genai and large language model trends
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Ad Auctions | Auction theory | B testing | Deep learning | Fine Tuning | Generative AI | Human Feedback | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Metrics design | Multi-Objective Optimization | Objective optimization | Online Experimentation | Probabilistic Modeling | Ranking | Recommendation Systems | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval | Retrieval-Augmented Generation
Education
Roles
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