Expert Algorithm Engineer, (Computer Vision & Multimodal AI) - Marketplace Intelligence & Data
Job Description
Job Description:
What You Will Do:
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
- Publications in top-tier CV/Multimodal/AI conferences and journals (good to have)
More Info
Key Skills
media forensics
biometric security
document understanding OCR
AIGC detection
modern deep learning stacks
core algorithms
trustworthy AI
image video quality assessment
deepfake defense
generative model detection
vision-language models
provenance analysis
face intelligence liveness detection
About Company
Expert Algorithm Engineer, (Multimodal AI & Trust Intelligence), Marketplace Intelligence & DataShopee
Skills:
document understanding, biometric security, intelligence liveness detection, AIGC detection, algorithmic solutions, multimodal reasoning, Fraud Detection, media forensics, research-to-production translation, deep learning stacks, core algorithms, AI agent, trustworthy AI, generative model detection, deepfake defense, vision-language models, provenance analysis