About The Role
Join eBay's Search Query Science team, a pivotal part of eBay’s search and query processing, driving significant revenue. We are expanding rapidly and are committed to building a stellar team. Our team is results-oriented and hardworking, focusing on core e-commerce search problems such as query rewriting, annotation, classification, and recovery using innovative machine learning algorithms. We aim to understand large-scale user behavioral signals to enhance the shopping experience.
Key Responsibilities
- Design, develop, and implement powerful algorithms and models for Natural Language Processing (NLP), Embedding Based Retrieval (EBR), semantic search, and machine learning to improve query understanding and retrieval.
- Independently develop state-of-the-art ML solutions to query understanding problems that are practical and scalable.
- Stay updated with the latest advancements in NLP, machine learning, and search technologies, applying innovative approaches to improve the search experience.
- Collaborate with multiple teams to promote standard scientific methodologies and processes.
- Present key technical and novel research work in public forums and conferences.
What You Will Bring
- 1-3 years (with PhD) or 3-5 years (with Masters) of industrial experience in Computer Science, Artificial Intelligence, Information Retrieval, or a related field, focusing on NLP or machine learning.
- Experience with classification, regression, NLP, clustering, Deep Learning/Neural Networks, Reinforcement Learning, or related fields.
- Strong background in machine learning, NLP, and related technologies, with experience applying these techniques to large-scale, real-world problems.
- Proficiency in Python and Java or Scala or C/C++, and experience with machine learning frameworks and tools, preferably in big data processing (e.g., Hadoop, SQL, Spark).
- Excellent communication skills in English.
Benefits
- Competitive salary range of $135,200 - $205,700.
- Additional compensation may include bonuses and restricted stock units.
- Comprehensive benefits package including medical, financial, and paid time off benefits.
Work Environment
This position is based in San Jose, CA, with a hybrid work model allowing for both on-site and off-site work. Join us to be at the forefront of applied research in e-commerce and help redefine query understanding at eBay.
Benefits Extracted with AI
- 401(k) eligibility
- Paid time off
- Parental leave
- Medical benefits
- Financial benefits
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