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Expert Algorithm Engineer, (Multimodal AI & Trust Intelligence), Marketplace Intelligence & Data

Exclusive opportunity

Onsite

Expert Algorithm Engineer, (Multimodal AI & Trust Intelligence), Marketplace Intelligence & Data

Shopee

Expert Algorithm Engineer, (Multimodal AI & Trust Intelligence), Marketplace Intelligence & Data

Skills

Deep LearningE-commerce WebsitesMachine LearningAIBusiness Development

1 month ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

21 September 2026

What they need


About The Team The Marketplace Intelligence and Data team's mission is to build sustainable and efficient data and intelligence products to facilitate Shopee's business development. The team is responsible for Shopee e-commerce data warehouse construction, merchant and operation data product construction, all-link traffic data, product algorithms, including product release, control, information optimization, SPU library and its comparison business, marketing algorithms, including Merchandising, Product Selection, Recommendation Algorithm, Evaluation Algorithms, User Profiling, and in addition, basic AI capabilities, such as Machine Translation, Speech Algorithm, Image Algorithm, and Real-person Authentication

Job Description

  • Lead the design and evolution of core algorithms for:

  • AIGC detection and media forensics

  • Face intelligence, liveness detection, and deepfake defense

  • Document understanding and fraud detection

  • Multimodal reasoning and AI agent

  • Own end-to-end algorithmic solutions

  • Drive research-to-production translation

  • Define technical directions in:

  • Multimodal and vision-language models

  • Trustworthy AI and biometric security

  • Generative model detection and provenance analysis

  • Mentor senior engineers and act as the technical bar-raiser for major algorithmic decisions

  • Partner with product and engineering teams to align algorithm strategy with business impact

Requirements

  • Master’s, or PhD in Computer Science, AI, or related fields
  • 5+ years of experience building production ML systems (or equivalent impact)
  • Recognized technical depth in the related technical fields
  • Strong hands-on expertise and modern deep learning stacks
  • Proven track record leading large-scale systems from concept to production
  • Excellent technical judgment in ambiguous problem spaces
  • Ownership mindset and long-term thinking
  • Passion for building reliable, high-impact AI products

Good To Have Not Mandatory

  • Publications in top-tier CV/Multimodal/AI conferences and journals

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