Principal Scientist Recommendation Personalization

Location: Remote
Compensation: Salary
Staff Reviewed: Sat, Mar 30, 2024
This job expires in: 16 days

Job Summary

A company is looking for a Principal Applied Scientist in Recommendation & Personalization.

Key Responsibilities:
  • Architect and oversee the development of a recommender system
  • Develop a product ranking model considering customer profiles and dialog context
  • Translate customer needs into a long-term vision and roadmap for recommendation and personalization

Required Qualifications:
  • Ph.D. in Computer Science, Mathematics, or a related quantitative field, or significant professional experience in machine learning engineering
  • Over 5 years of industry experience in machine learning, with a focus on developing ML-driven products at scale
  • Experience building recommender systems, particularly in e-commerce
  • Expertise in using machine learning frameworks like PyTorch and deploying models with frameworks like Flask or FastAPI
  • Hands-on experience with large-scale data systems and data pipelines

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