Applied Scientist jobs at Ebay in United States, Bellevue
Ebay Applied Scientist United States, Washington, Bellevue
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Here are some of the problems we are working on:
Developing machine and deep learning techniques for delivery estimation and shipping optimization.
Improving how fast delivery impacts product search and seller conversions
Applying machine learning globally to improve shipping speed and quality of service.
Optimize the buyer and seller's shipping experience at a per-transactional level.
Do all of the research with an eye towards support at web-scale.
ResponsibilitiesYou will be directly responsible for improving eBay's shipping science.
Design and implement end to end solutions using machine learning and AI, improving efficiency and user experience for buyers and sellers.
Conduct experiments and evaluate the performance of the models. Ensure sustainability by designing and implementing for continuous improvement of shipping retail standards.
Collaborate with other researchers, engineers, and product teams to develop strategic and tactical enhancements to our shipping platforms.
Communicate your methodology and results to a community of researchers, developers, analysts, and product managers working on a number of related technologies.
Work with data scientists, engineers, and cross functional teams to produce end-to-end production-ready solutions.
Maintain responsibility for quality, performance, scalability, and reliability.
Estimate effort, build research and development plans, and prioritize work according to the needs of the business.
Provide technical leadership and mentoring to other team members.
5+ years of experience in software development, with a significant focus on data technologies and platforms
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field
Strong mathematical, statistical, and scientific modeling skills.
2+ years experience with PySpark, Python, and Spark, both in development as well as deployment in a production environment.
Proficiency in PyTorch and familiarity with recent deep learning literature for model and infrastructural optimizations and techniques. Applied experience at scale even better.
Strong interpersonal skills and an appreciation of diversity in teamwork
The base pay range for this position is expected in the range below:
$166,400 - $222,100These jobs might be a good fit
Here are some of the problems we are working on:
Developing machine and deep learning techniques for delivery estimation and shipping optimization.
Improving how fast delivery impacts product search and seller conversions
Applying machine learning globally to improve shipping speed and quality of service.
Optimize the buyer and seller's shipping experience at a per-transactional level.
Do all of the research with an eye towards support at web-scale.
ResponsibilitiesYou will be directly responsible for improving eBay's shipping science.
Design and implement end to end solutions using machine learning and AI, improving efficiency and user experience for buyers and sellers.
Conduct experiments and evaluate the performance of the models. Ensure sustainability by designing and implementing for continuous improvement of shipping retail standards.
Collaborate with other researchers, engineers, and product teams to develop strategic and tactical enhancements to our shipping platforms.
Communicate your methodology and results to a community of researchers, developers, analysts, and product managers working on a number of related technologies.
Work with data scientists, engineers, and cross functional teams to produce end-to-end production-ready solutions.
Maintain responsibility for quality, performance, scalability, and reliability.
Estimate effort, build research and development plans, and prioritize work according to the needs of the business.
Provide technical leadership and mentoring to other team members.
5+ years of experience in software development, with a significant focus on data technologies and platforms
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field
Strong mathematical, statistical, and scientific modeling skills.
2+ years experience with PySpark, Python, and Spark, both in development as well as deployment in a production environment.
Proficiency in PyTorch and familiarity with recent deep learning literature for model and infrastructural optimizations and techniques. Applied experience at scale even better.
Strong interpersonal skills and an appreciation of diversity in teamwork
The base pay range for this position is expected in the range below:
$166,400 - $222,100These jobs might be a good fit
