Multimodal LLM Architect for Generative Search & Commerce

TikTok

Singapore

On-site

SGD 78,000 - 123,000

Full time

14 days+
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Job summary

TikTok is seeking a Multimodal LLM Algorithm Engineer Graduate (Global E-Commerce, Knowledge Graph) to join the Global E-commerce Algorithm team in Singapore. You will work on multimodal content understanding, semantic matching, and price intelligence to power product catalog construction and cross-lingual product aggregation.

As a graduate, you will tackle bold ideas, perform data construction, model training, evaluation, deployment, and iterate on end-to-end algorithms, with opportunities to

Qualifications

  • Minimum Qualifications - Bachelor's or Master's in Software Development, Computer Science, Computer Engineering, or related technical discipline.
  • Strong research or practical experience in NLP, CV, generative models (e.g. Diffusion, GANs, ControlNet), multimodal learning, large models, or Agents.
  • Proficiency in PyTorch / TensorFlow and hands-on experience in model training, tuning, and deployment.
  • Preferred Qualifications - Experience with LLM/VLM, Embedding/SID, RAG, Tool Calling, or Agent Planning is preferred.
  • Experience with distributed training, mixed precision, inference acceleration, TensorRT, or LLM serving optimization is a plus.
  • Experience in multimodal retrieval, product understanding, content understanding, search/recommendation, pricing algorithms, intelligent Agents, or AIGC projects is preferred.
  • Publications, open-source contributions, or strong algorithm competition records are preferred. Strong communication, ownership, and a drive to create real business impact are highly valued.

Responsibilities

  • Build global product catalog and content understanding systems, modeling products, videos, images, merchants, and brands with structured and semantic representations.
  • Develop algorithms for identical product matching, product/merchant/brand deduplication, and cross-lingual product aggregation, addressing multimodal matching, real-time aggregation, multi-granularity clustering, and semantic alignment.
  • Build pricing algorithms for price comparison, product pricing, price monitoring, and anomaly detection, supporting subsidy programs, price competitiveness analysis, and supply optimization.
  • Construct multimodal semantic links across video-product, product-product, and video-video relationships to support trend understanding, product mining, AIGC generation, and content-commerce supply optimization.
  • Explore next-generation generative search and recommendation through full-format representation learning and SID modeling across videos, livestreams, products, and queries.
  • Design and develop generative algorithms tailored for high engaging, high conversion e-commerce visual creatives, solving challenges in identity-preserving and aesthetic style consistency to produce production-grade intelligent background synthesis, virtual try-on, and localised lifestyle scene generation.
  • Explore business-facing Agents such as price comparison Agents, product analysis Agents, content AIGC Agents, and merchant operation Agents, leveraging RAG, tool calling, planning, reasoning, and automated evaluation.
  • Own the end-to-end algorithm workflow, including data construction, model training, evaluation, deployment, badcase analysis, and continuous iteration.

Skills

NLP research
CV / Computer Vision
Multimodal learning
PyTorch
TensorFlow
LLM / VLM

Education

Bachelor's or Master's in CS/Software/Engineering

Tools

PyTorch
TensorFlow

Job description

TikTok is seeking a Multimodal LLM Algorithm Engineer Graduate (Global E-Commerce, Knowledge Graph) to join the Global E-commerce Algorithm team in Singapore. You will work on multimodal content understanding, semantic matching, and price intelligence to power product catalog construction and cross-lingual product aggregation.

As a graduate, you will tackle bold ideas, perform data construction, model training, evaluation, deployment, and iterate on end-to-end algorithms, with opportunities to

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