Sr Applied Scientist Recommendations jobs at Ebay in United States, New York

This Is An Opportunity To

• 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.

• 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

• 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

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

The base pay range for this position is expected in the range below:

What you will bring:

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, or a closely related field plus three years of experience in the job offered, as a researcher or a related occupation.

Special Skill Requirements:

Python (3 years)

Machine Learning (3 years)

Recommendation Systems (3 years)

Natural Language Processing (NLP) (3 years)

Transformer Models (3 years)

Large Language Models (LLMs) (2 years)

BERT (2 years)

Deep Learning Model Fine-tuning (3 years)

XGboost (3 years)

Statistical Modeling (3 years)

Predictive Modeling (3 years)

Salary: $141,170-261,800 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.