ByteDance

2 days ago

LLM/MLLM Algorithm Engineer - Global E-Commerce

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 38 minutes agoStatus: Live

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

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

ByteDance

2 days ago

LLM/MLLM Algorithm Engineer - Global E-Commerce

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 38 minutes agoStatus: Live

Job Summary

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

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn