LLM/MLLM Algorithm Engineer - Global E-Commerce

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: []

Develop and optimize domain-specific LLM/MLLM models for ByteDance’s global e-commerce use cases, integrating domain knowledge to drive real business scenarios. Work on e-commerce governance optimization for merchants, products, videos, live-streams, and IPR, including intelligent review systems that can explain rejection decisions. Enhance models through data construction, fine-tuning (including CoT and PEFT), multimodal moderation, violation detection, and policy recommendations. Improve multilingual, multi-task, and multimodal performance across scenarios.

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FursaFursa
ByteDance
ByteDance
1 month ago

LLM/MLLM Algorithm Engineer - Global E-Commerce

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Develop and optimize domain-specific LLM/MLLM models for ByteDance’s global e-commerce use cases, integrating domain knowledge to drive real business scenarios. Work on e-commerce governance optimization for merchants, products, videos, live-streams, and IPR, including intelligent review systems that can explain rejection decisions. Enhance models through data construction, fine-tuning (including CoT and PEFT), multimodal moderation, violation detection, and policy recommendations. Improve multilingual, multi-task, and multimodal performance across scenarios.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build domain-specific LLM/MLLM models for e-commerce, integrating domain knowledge to apply models to business scenarios.
  • •Optimize e-commerce governance by improving merchant/product/video/live-stream/IPR governance through algorithm development and algorithm optimization.
  • •Enhance models via data construction, foundational model enhancement, instruction fine-tuning, chain-of-thought (CoT), and parameter-efficient fine-tuning (PEFT).
  • •Solve governance application challenges including long text/sequence modeling, few-shot learning, content moderation, violation detection, and policy recommendation using large models and multimodal approaches.
  • •Research and optimize e-commerce-specific NLP and multimodal large models to improve multilingual, multi-task, and multi-modal performance across e-commerce scenarios.

Key Requirements

  • •Solid foundation in machine learning with familiarity with cutting-edge AI technologies, with preference for strong academic publications or competition experience.
  • •Familiarity with big data frameworks and applications such as MapReduce and Spark.
  • •Experience training and deploying TensorFlow and PyTorch models.
  • •Understanding of model compression and inference optimization, including quantization, pruning, distillation, and TensorRT optimization.
  • •Expertise in either computer vision & multimodal or NLP, with preferred experience in LLM/LLMM-related projects and relevant competition/publication achievements.
Experience:E-commerceComputer visionMultimodalLarge language modelsLLM fine-tuningModel compressionBig data
Tech Stack:TensorFlowPyTorchMapReduceSparkTensorRTOCR

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn