AI Vision & Multimodal Security Engineer

Shopee

Singapore

On-site

SGD 90,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Mentorship from experienced engineers
Exposure to large-scale AI systems
Clear technical growth path

Job summary

Shopee is seeking a highly motivated algorithm engineer to join the Marketplace Intelligence & Data team in Singapore. You will work on real-world identity verification and AI security challenges, building computer vision and multimodal models, and supporting end-to-end model lifecycles from data analysis to deployment.

You'll collaborate with senior engineers and product managers, exploring emerging techniques in CV, multimodal AI, and trustworthy AI while contributing to production-grade AI

Qualifications

  • Bachelor or above in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
  • Proficient in Python and deep learning workflows.
  • Experience with model training, evaluation, and debugging.

Responsibilities

  • Develop and improve computer vision and multimodal models including AIGC detection and media forensics.
  • Participate in data analysis, model training, evaluation, and deployment lifecycle.
  • Design training and inference pipelines using modern deep learning frameworks.
  • Collaborate with senior engineers and product managers to deliver production-ready AI solutions.
  • Continuously learn and explore new techniques in CV, multimodal AI, and trustworthy AI.

Skills

Python
Deep learning
Model training
Team collaboration

Education

Bachelor's degree in Computer Science / AI / ML

Tools

PyTorch

Job description

Shopee is seeking a highly motivated algorithm engineer to join the Marketplace Intelligence & Data team in Singapore. You will work on real-world identity verification and AI security challenges, building computer vision and multimodal models, and supporting end-to-end model lifecycles from data analysis to deployment.

You'll collaborate with senior engineers and product managers, exploring emerging techniques in CV, multimodal AI, and trustworthy AI while contributing to production-grade AI

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