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What you will accomplish:
Seek scientifically valid solutions that deliver real value to eBay customers
Carry out statistical analyses on large and messy data
Guide the process to build machine learning models and data pipelines to deliver insightful yet practical solutions
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
Drive impact with technical innovations to solve real world problems at eBay with optimized solutions
Stay up to date with latest technological developments with Information Theory and Machine Learning
What you will bring:
MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
5+ years (with PhD) or 8+ years (with MS) of industrial experience in a related field
Industrial experience with all of the following: classification, regression, GBM, recommendation systems, clustering, DeepLearning/Neural NetworksIndustrial experience with one or more of the following: NLP, Computer Vision, Multimodal Modeling , Large Language Modeling, Embedding based Retrieval
Experience in big data processing, e.g. Hadoop, SQL, Spark
Experience with Python, and Java or Scala or C/C++ . Familiarity with frameworks such as Pytorch, tensorflow or JAX
5+ or more related publications in quality conferences or journals
1+ patents granted
The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.
$168,400 - $262,900This 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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