89 Ecommerce Jobs - October 2026 - Urgent Hiring

Showing 89 jobs results for "ecommerce"
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Singapore

  • Partner closely with hiring managers and business stakeholders to understand hiring needs, provide market insights, and advise on talent solutions aligned with business priorities.
  • Manage the end-to-end recruitment process, from job briefing and candidate sourcing to interview coordination, and offer negotiation.
  • Optimise recruitment channels and internal resources to improve hiring efficiency, build quality candidate pipelines, and drive hiring outcomes. ...
Posted
6 days ago

Singapore

  • Partner closely with hiring managers and business stakeholders to understand hiring needs, provide market insights, and advise on talent solutions aligned with business priorities.
  • Manage the end-to-end recruitment process, from job briefing and candidate sourcing to interview coordination, and offer negotiation.
  • Optimise recruitment channels and internal resources to improve hiring efficiency, build quality candidate pipelines, and drive hiring outcomes. ...
Posted
5 days ago

Singapore

  • To protect our E-Commerce users, including and beyond buyer, seller, creator;
  • By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform;
  • Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.
Posted
13 days ago

Singapore

  • Partner closely with hiring managers and business stakeholders to understand hiring needs, provide market insights, and advise on talent solutions aligned with business priorities.
  • Manage the end-to-end recruitment process, from job briefing and candidate sourcing to interview coordination, and offer negotiation.
  • Optimise recruitment channels and internal resources to improve hiring efficiency, build quality candidate pipelines, and drive hiring outcomes. ...
Posted
a day ago

Singapore

  • Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
  • Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
  • Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV. ...
Posted
19 days ago

Singapore

  • Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
  • Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
  • Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. ...
Posted
19 days ago

Singapore

  • Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
  • Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
  • Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV. ...
Posted
7 days ago

Singapore

  • Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
  • Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
  • Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. ...
Posted
7 days ago

Singapore

  • Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
  • Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
  • Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV. ...
Posted
6 days ago

Singapore

  • Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
  • Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
  • Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. ...
Posted
4 days ago

Singapore

  • Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
  • Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
  • Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV. ...
Posted
4 days ago

Singapore

  • Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
  • Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
  • Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. ...
Posted
2 days ago

Singapore

  • Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
  • Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
  • Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. ...
Posted
21 hours ago

Singapore

  • Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
  • Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
  • Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV. ...
Posted
25 days ago

Singapore

  • Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
  • Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
  • Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV. ...
Posted
5 days ago

Singapore

  • Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
  • Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
  • Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV. ...
Posted
5 days ago

Singapore

  • Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
  • Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
  • Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV. ...
Posted
4 days ago

Singapore

  • Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
  • Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
  • Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV. ...
Posted
a day ago

Singapore

  • Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
  • Productionize AI agent pipelines engineered for real-time prevention under massive global traffic.
  • Analyze / test the effectiveness of the built solutions. ...
Posted
25 days ago

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