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  Lead the design and development of large-scale model driven search algorithms including retrieval, ranking, and query understanding

• Define and evolve the technical strategy for search, balancing relevance, latency, and scalability

• Drive end-to-end ML systems: data pipelines, feature engineering, model training, experimentation, and serving

• Partner closely with product, data, and infrastructure teams to shape and execute on the search roadmap and user experience

• Mentor engineers and data scientists and raise the bar on algorithm development, system design, ML and engineering practices

• Identify and drive high-impact opportunities across search and personalization

• Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers

Requirements:

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  8+ years of industry experience, with 4+ years as tech lead experience (preferred)

• Deep expertise in search and/or ranking algorithms(e.g., retrieval, LTR, semantic search, query understanding, entity recognition)

• Strong experience building large-scale ML systems in production

• Proven ability to lead technical direction and influence across teams

• Experience with online experimentation and metrics-driven development

• Strong programming skills in Python (Java/Go a plus)

• Experience with distributed systems and cloud platforms (AWS/GCP/Azure)

• Solid understanding of data fundamentals (SQL, pipelines, feature stores)

• Excellent communication skills and ability to work cross-functionally

Nice to Have

• Experience with recommender systems or personalization

• Experience with NLP techniques

• Familiarity with vector search / ANN (Faiss, ScaNN, etc.)

• Experience in streaming, marketplace, or content discovery platforms