Position Summary...
What you'll do...
- Lead architecture and technical direction for Search and Personalization machine learning systems.
- Design scalable retrieval, ranking, recommendation, and personalization algorithms.
- Drive adoption of Generative AI, Large Language Models, embeddings, and semantic search capabilities.
- Lead cross-functional initiatives involving Product, Engineering, Platform, and Data Science teams.
- Establish experimentation frameworks and best practices for model development and evaluation.
- Mentor senior scientists and review technical designs across multiple initiatives.
- Influence long-term AI strategy and technology investments.
- Drive measurable improvements in customer engagement, search relevance, and business metrics.
- Extensive experience building production AI/ML systems at scale.
- Deep expertise in Search, Information Retrieval, Recommendation Systems, Personalization, or Ranking.
- Experience with transformer models, embeddings, vector search, LLMs, or Generative AI applications.
- Strong understanding of ML system architecture, MLOps, and distributed model deployment.
- Expertise in experimentation, causal inference, and performance evaluation.
- Excellent technical leadership and stakeholder management skills.
- Proven ability to influence architecture and mentor technical teams across organizations.
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location...