Applied Researcher, Query Science

Key Skills

Apache Hadoop, Big Data Technology, C Programming, C++, Deep Learning, Effective communication skills, Java Programming, Natural Language Processing (NLP), Python Programming, Scala Programming, SPARK Programming, SQL

Job Description

About the role:

The Search Query Science team is the biggest contributor to eBay’s search/query processing and drives a significant portion of revenue. We are growing at a rapid pace and committed to building a stellar team. We are a team where people who think and do things differently. Our team is results-oriented and hardworking. We are building solutions for core e-commerce search problems such as query rewriting, query annotation/classification, query recovery with innovative ML algorithms tailored to understand large-scale user behavioral signals. The environment is friendly and fun. We get things done that make a difference.

We are looking for stellar applied researchers to join us and build the next generation of query science products in eBay Search. If you enjoy the scale and technical complexity of query processing (understanding query intent, entity resolution and tagging, categorization, intelligent query rewrites and clustering, application of knowledge graph, to name a few) and want to be at the frontier of applied research in e-commerce, join now. Help us redefine query understanding at eBay.

What you will accomplish:

• Seek scientifically valid solutions that deliver real value to eBay customers.
• End-to-end design, development and implementation of powerful algorithms and models for Natural Language Processing (NLP), Embedding Based Retrieval (EBR), semantic search, and machine learning to improve query understanding and retrieval.
• Understanding the ebay tech ecosystem and independently coming up with state-of-the-art ML solutions to query understanding problems that are practical and scalable.
• Stay abreast of the latest advancements in NLP, machine learning, LLMs, and other search technologies, applying innovative approaches to continually improve the search experience.
• Work with multiple teams to help promote standard scientific methodologies and processes in your field.
• 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, with a focus on NLP or machine learning.
• Industrial experience with one or more of the following: classification, regression, NLP, clustering, Deep Learning/Neural Networks, Reinforcement Learning, or related
• Strong background in machine learning, NLP, and related technologies, with experience applying these techniques to large-scale, real world problems.
• Strong analytical and problem-solving skills, with a creative approach to tackling complex challenges.
• Proficiency in Python and Java or Scala or C/C++, and experience with machine learning frameworks and tools with preferable experience in big data processing, e.g. Hadoop, SQL, Spark.
• Excellent communication skills, with proficiency in English.

The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.

$135,200 - $205,700

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.