ByteDance

Machine Learning Engineer, Search Recommendation (E-commerce) (ByteDance Singapore)

ByteDance  •  Singapore, SG (Onsite)  •  3 months ago
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Job Description

About the team
The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active users worldwide.

Responsibilities
- Elevate search recommendation services and models for E-commerce, driving heightened e-commerce search traffic, while enhancing user search and purchasing cognition.
- Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
- Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.
ByteDance

About ByteDance

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok.

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.

We have over 110,000 employees based in more than 30 countries globally. Join us.

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
China, CN
Year Founded
Unknown
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