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MTS2, Software Engineer- Ads
4 months ago
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, 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.
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 exploring a new generation of recommender systems powered by Large Language Models and other emerging paradigms in AI. We are looking for a Staff Engineer and innovator who can drive state of the art ML engineering, define research directions, and get systems into production at eBay scale.
Primary Job Responsibilities:
Design, develop and maintain high performance online services for ebay recommendation system.
Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;
Working 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.
Job Qualifications
BS, MS, or PhD 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.
Disclaimer: Please note that by applying to this role, you are agreeing to be considered for multiple positions. This is a general description of the qualifications and skills required for positions of this type of role.
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