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Applied Scientist, Search, E-Commerce Alliance
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- Extensive experience in machine learning, deep learning, data mining, or artificial intelligence; no number of years stated.
- Education
- PhD, Master or Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field.
About the job
Develop and improve e-commerce search and recommendation systems by designing, testing, and deploying machine-learning models and communicating findings across teams.
What you'll do
- Develop and iterate on machine-learning algorithms and end-to-end models for search and recommendation.
- Analyze large-scale data to identify opportunities to improve search functions and user experience.
- Collaborate with cross-functional teams, present findings to non-technical audiences, and follow data-governance and privacy policies.
What they ask for
- Degree in Computer Science, Statistics, Mathematics, or a related quantitative field (PhD, Master or Bachelor's).
- Extensive experience in machine learning, deep learning, data mining, or artificial intelligence.
- Strong programming skills in Python, C++, Java, GO, or similar.
- Strong knowledge of search algorithms, information retrieval, and ranking systems.
Nice to have
- Experience with Natural Language Processing (NLP) techniques.
- Experience with recommendation systems, computational advertising, search engines, or E-commerce search systems.
Tools
Python, C++, Java, GO, Natural Language Processing (NLP)
AI focus
Apply machine learning and deep learning to search and recommendation systems, including ranking and search optimization.
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