At eBay, the Recommendations team is working on delivering item recommendations at scale and in near real time to buyers on their website and native app platforms. They are exploring a new generation of recommender systems powered by Large Language Models and other emerging paradigms like GenAI, and are looking for an Applied Scientist to drive state-of-the-art ML modeling and get systems into production at eBay scale for eBay Live.
Requirements
- Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)
- Experience in AI applied research, preferably in Natural Language Processing (NLP), deep learning, and industrial recommender systems
- Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required
- Experience with using cloud services, big data pipelines and databases
Responsibilities
- Build data pipelines needed to support user input, recall and ranking, model training and inference, working with architects and other engineering peers.
- Track the fast paced world of AI and apply innovative techniques to unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users.
- Develop and deploy innovative models in the context of recommender systems.
- Deploy big data technology and large scale data pipelines to create magical AI applications and user experiences.
- Have a real impact on how shoppers interact with one of the world's largest e-commerce marketplaces to find what they love every day.
- Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations.
Other
- MS in Computer Science or related area with 3 years of relevant work experience (or BS/BA with 5 years) in ML / AI / Data Engineering
- The base pay range for this position is expected in the range below: $166,400 - $222,100
- Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience.
- The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave).
- If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
