Ebay Applied Scientist 

United States, Washington, Bellevue 

251125057

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.

• You 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: