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Responsibilities:
Develop machine learning models and data pipelines to construct Knowledge Graphs, annotate KG entities and intents to enrich search queries, and inventory contents
Build and support applications to enhance search retrieval, recommendation, relevance and ranking
Collaborate with operations team to ensure the quality of any human-labeled data required
Carefully measure your output and impact in order to learn and improve over time
Help define and refine project scopes, goals, and metrics
Engage with the eBay Science community promote standard scientific methodologies and processes in your field
Requirements:
MS/PhD in Computer Science, Statistics, Mathematics, or equivalent field
Strong programming skills in Java and Python
Experience with one or more of the following: classification, regression, NLP, clustering, Deep Learning / Neural Networks
Experience in Big Data processing frameworks, e.g. Hadoop, Hive, Spark
Experience in Knowledge Graph technology stack is a plus
Ability to adapt to emerging challenges and execute under ambiguity.
Strong interpersonal skills and an appreciation for diversity in teamwork
The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.
$135,200 - $205,700This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.
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