Software Engineer

2 weeks ago

Shanghai, Shanghai, China 0093 eBay Engineering&Research Full time

At eBay, we're a global ecommerce leader, changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in over 190 markets worldwide. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Our Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay's vast and varied inventory. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, as well as advanced MLOps in a high volume traffic industrial e-commerce setting.

We're exploring a new generation of recommender systems powered by Large Language Models and other emerging paradigms in AI. We're looking for a Staff Engineer and innovator who can drive powerful ML engineering, define research directions, and get systems into production at eBay scale.

Key Responsibilities:

  • Design, develop, and maintain dedicated online services for eBay's recommendation system.
  • Build extremely efficient and reliable data pipelines for candidate generation, profile generation, training examples generation, real-time online training, etc.
  • Work with other engineers, managers, designers, product managers to develop innovative globalized large-scale recommendation systems; with respect to functionality, performance, scalability, and reliability while meeting realistic implementation schedules and adhering to development goals and principles.

Qualifications:

  • BS, MS, or PhD or equivalent experience in Computer Science or related technical discipline (or equivalent).
  • 7+ years' work experience in software development area with at least 5+ years' experience in Java programming, web development, big data or machine learning.
  • Excellent understanding of computer science fundamentals, algorithms, and data structures.
  • Proficient in large-scale data mining technologies such as Hadoop, Spark, and Flink.
  • Experience in recommendation systems, online advertising.
  • Good English communication skills.

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