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model deployment large language models personalization retrieval ml infrastructure📋 Description
- Define long-term vision for Shopping ML across search, discovery, and personalization.
- Lead AI systems that improve how customers discover products and shop.
- Architect large-scale ML systems with LLMs, retrieval, ranking, and personalization.
- Build and operate production ML systems powering real-time experiences for millions of users/products.
- Identify foundational ML capabilities to unlock new experiences.
- Mentor senior engineers through design reviews, architecture guidance, and collaboration.
🎯 Requirements
- Master’s/PhD in CS, ML, AI, or equivalent, or relevant exp.
- 10+ years building and operating large-scale ML systems in production.
- Proven track record architecting ML systems powering core experiences at scale.
- Deep expertise in recommender systems, ranking, embeddings, or search.
- Experience combining generative AI with traditional ML (retrieval, ranking, personalization).
- Experience designing ML platforms for large-scale experimentation, training, deployment.
🎁 Benefits
- Equity awards and yearly refresh grants.
- Flex First remote work policy.
- Competitive compensation and benefits.
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