Ebay Applied Researcher Query Science 

United States, California, San Jose 

191141721

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

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