Responsibilities:
• Lead the team to design, build, optimize large-scale (10 million to 100 million) e-commerce recommendation algorithm pipeline
• 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.
• Build, expand and manage the global e-commerce recommendation team from scratch
• Collaborate with strategy team, product managers, policy team and ops team to define products and drive initiatives from engineering viewpoints
Minimum Qualifications:
• Bachelor's degree in Computer Science or related technical field
• 3+ years of working experience in one of the following fields: recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
• Experience in leading an engineering team
• Strong sense of responsibility and good at communication and teamwork
• Passionate about solving complex and challenging problems
Top Skills
What We Do
We are HireIO, the Workforce Solutions Provider who tomorrow’s tech giants count on to be connected with today’s tech genius. We help create an impact on the tech community by partnering with teams and professionals who specialize in FinTech, Cloud/SaaS, healthcare, biotech, A.I., and any emerging technologies, to grow from new opportunities and support equal opportunity
