Research
eBay R&D Center Internship opportunity
Are you a passionate Ph.D. student with a strong background in machine learning and data science? Are you experienced in deep learning and eager to apply your skills in a real-world production environment? Look no further! eBay R&D center in Israel is currently seeking talented interns to join our team for a summer internship.
About eBay R&D center in Israel
eBay is a leading e-commerce company at the forefront of innovation in machine learning and data science. In the R&D center in Israel we specialize in tackling complex problems related to search, recommendation, ontologies, in big data, developing cutting-edge solutions that have a real impact on many users across the globe. Our team is composed of industry experts, researchers, and engineers who are dedicated to pushing the boundaries of what’s possible.
Internship Opportunity
As an intern at eBay R&D Center in Israel , you will have the unique opportunity to work with real data, dive into a live production environment, and tackle challenging and interesting problems. You will collaborate closely with our team of experts, who will provide guidance and mentorship throughout your internship journey. This is a hands-on experience that will allow you to apply your theoretical knowledge to practical scenarios, gaining invaluable skills and insights along the way.
Requirements
- Currently pursuing a Ph.D.|(or have graduated ) in a relevant field (e.g., computer science, machine learning, data science, and related fields),
- Strong background and expertise in machine learning and data science
- Experience with deep learning frameworks and algorithms
- Proficiency in programming languages especially Python
- Excellent problem-solving skills and ability to think critically
- Strong communication and teamwork abilities
- Writing abilities
Benefits:
- Gain practical experience in a real-world production environment
- Work on challenging problems with real data and industry experts
- Receive guidance and mentorship from experienced professionals
- Expand your knowledge and skills in machine learning and data science
- Build a valuable network of industry connections
Internship Details:
This internship requires you to come to our site once or twice a week to collaborate with our team and work on projects. This in-person interaction will allow you to fully immerse yourself in our dynamic work environment and make the most of the mentorship and guidance provided.
How to Apply:
If you are excited about the prospect of working on cutting-edge projects, alongside industry experts, and have the drive to make a real impact, we would love to hear from you. Please submit your resume, a brief description of your research interests, and any relevant projects or publications to bshapira@ebay.com. Please include “Internship Application – [Your Name]” in the subject line.
Join us at and take your skills in machine learning and data science to new heights. Together, we can revolutionize the world of technology!
An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search
SIGIR 2021 – July 2021, Montreal, Canada
PreSizE: Predicting Size in E-Commerce using TransformersA
SIGIR 2021 – July 2021, Montreal, Canada
Automatic Form Filling with Form-Bert
Improving Constrained Search Results By Data Melioration
ConCaT: Construction of Category Trees from Search Queries in ECommerce
Uri Avron, Shay Gershtein, Ido Guy, Tova Milo, Slava Novgorodov
ICDE’ 21 April 2021 , Chania, Greece
Category Recognition in E-Commerce using Sequence-to-Sequence Hierarchical Classification
Generating Tips from Product Reviews
Sharon Hirsch, Slava Novgorodov, Ido Guy, Alexander Nus
WSDM’21 – March 2021, Jerusalem, Israel
Event-driven Query Expansion
Descriptions from the Customers: Comparative Analysis of Review-based Product Description Generation Methods
Intent-Driven Similarity in E-Commerce Listings
E-Commerce Dispute Resolution Prediction
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding
CONCIERGE: Improving Constrained Search Results by Data Melioration
Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann
VLDB’20 – August 2020, Tokyo, Japan
Product Bundle Identification using Semi-Supervised Learning
Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira
Query Reformulation in E-Commerce Search
Sharon Hirsch, Ido Guy, Alexander Nus, Arnon Dagan, Oren Kurland
SIGIR’20 – July 2020, Xi’an, China
MC3: A System for Minimization of Classifier Construction Cost
Minimization of Classifier Construction Cost for Search Queries