Algorithm Engineer (Multimodal AI & Trust Intelligence), Marketplace Intelligence & Data (2027 [...]
About The Team
Shopee will be prioritizing applicants who have a
current right to work in Singapore , and
do not require Shopee sponsorship of a visa .
Kindly note that you can only be considered in
one recruitment process at a time within Sea Group
and will be considered for jobs in the order that you have applied.
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 You will join our Marketplace Intelligence & Data team to work on
real-world identity verification and AI security problems , including:
Develop and improve computer vision and multimodal models, such as:
AIGC detection and media forensics
Face intelligence, liveness detection, and deepfake defense
Document understanding and fraud detection
Multimodal reasoning and AI agent
Participate in the full model lifecycle, including data analysis, model training, evaluation, and deployment
Design and implement training and inference pipelines using modern deep learning frameworks
Collaborate closely with senior engineers and product managers to deliver production-ready AI solutions
Continuously learn and explore new techniques in computer vision, multimodal AI, and trustworthy AI
Requirements
Bachelor or above in Computer Science, Artificial Intelligence, Machine Learning, or related fields
Solid programming skills in Python
Hands-on experience with deep learning frameworks (e.g., PyTorch)
Good foundation in one of the following areas: Computer Vision / Multimodal / Vision-Language Mode / Large Language Model / Natural Language Processing / Speech Processing
Familiar with basic model training, evaluation, and debugging
Good problem-solving skills, strong curiosity, and willingness to learn
Good communication skills and a collaborative mindset
Good To Have
Experience with image or video analysis, familiarity with computer vision or multimodal models
Research experience, competition experience, or publications in computer vision or AI-related fields
Internship experience in AI or algorithm roles
What We Offer
Mentorship from experienced algorithm engineers in computer vision, multimodal AI, and AI security
Opportunities to work on large-scale, real-world AI systems used in production
Exposure to cutting-edge topics, such multimodal large model, AIGC detection
Clear technical growth path from Graduate / Junior to Senior Algorithm Engineer
A collaborative, learning-driven, and engineering-focused team culture
current right to work in Singapore , and
do not require Shopee sponsorship of a visa .
Kindly note that you can only be considered in
one recruitment process at a time within Sea Group
and will be considered for jobs in the order that you have applied.
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 You will join our Marketplace Intelligence & Data team to work on
real-world identity verification and AI security problems , including:
Develop and improve computer vision and multimodal models, such as:
AIGC detection and media forensics
Face intelligence, liveness detection, and deepfake defense
Document understanding and fraud detection
Multimodal reasoning and AI agent
Participate in the full model lifecycle, including data analysis, model training, evaluation, and deployment
Design and implement training and inference pipelines using modern deep learning frameworks
Collaborate closely with senior engineers and product managers to deliver production-ready AI solutions
Continuously learn and explore new techniques in computer vision, multimodal AI, and trustworthy AI
Requirements
Bachelor or above in Computer Science, Artificial Intelligence, Machine Learning, or related fields
Solid programming skills in Python
Hands-on experience with deep learning frameworks (e.g., PyTorch)
Good foundation in one of the following areas: Computer Vision / Multimodal / Vision-Language Mode / Large Language Model / Natural Language Processing / Speech Processing
Familiar with basic model training, evaluation, and debugging
Good problem-solving skills, strong curiosity, and willingness to learn
Good communication skills and a collaborative mindset
Good To Have
Experience with image or video analysis, familiarity with computer vision or multimodal models
Research experience, competition experience, or publications in computer vision or AI-related fields
Internship experience in AI or algorithm roles
What We Offer
Mentorship from experienced algorithm engineers in computer vision, multimodal AI, and AI security
Opportunities to work on large-scale, real-world AI systems used in production
Exposure to cutting-edge topics, such multimodal large model, AIGC detection
Clear technical growth path from Graduate / Junior to Senior Algorithm Engineer
A collaborative, learning-driven, and engineering-focused team culture