Applied Scientist, Sponsored Products and Brands
Seattle, Washington, USA
USD 142K-223K (estimate) Mid-level Full Time
Tasks
- Build deep learning models for ad retrieval and relevance
- Collaborate with engineers and product managers for production delivery
- Conduct online experimentation and A B testing
- Design and develop generative AI solutions
- Develop and deploy models in production environments
- Develop multi objective optimization and reinforcement learning
- Implement best in class algorithms for rapid experimentation
- Mentor junior scientists and engineers
- Stay current on generative AI and LLM trends
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Ads Ranking | B testing | C++ | Deep learning | Few-Shot Learning | Few-shot | Fine Tuning | Generative AI | Human Feedback | Java | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Metrics design | Multi-Modal | Multi-Modal Modeling | Online Experimentation | Optimization | Personalization | Probabilistic Modeling | Production Deployment | Programming | Python | Recommendation Systems | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval systems | Retrieval-Augmented Generation | Search
Education
Roles
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