Senior ML engineer

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. 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.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

At eBay buyer experience, we develop AI/ML models that directly affects the usability of our site/app.

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 are building cutting edge recommender systems powered by the latest ML, NLP, LLM and AI techniques. Some papers published by our research team lately:
Automatic Future Product Releases Extraction from Web Data
Personalized Ordering of Recommendation-Modules on an E-Commerce Homepage ​
 

Responsibilities:

Working with our AI/ML researchers and our Buyer Product group - senior ML engineer handles

• Train data pipelines,
• Model training
• Model deployment
• Analysis and monitoring
   

Need to manage integration points with the following groups:

• Researchers
• Product
• Platforms
• Data
• Application backend
   

This requires good written communication skills in English.

Required experience:

• Python - 6+ years
• Apache Spark (pyspark) 6+ years
• SQL
• model deployment
• dockers

Additional optional experience:

• Backend - Java/Scala
• Orchestration AirFlow/Jenkins
• Near Real Time processing - Apache Flink/ Spark Streaming
  
  #LI-MD2

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