• 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:   

• 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