ByteDance

1 day ago

Machine Learning Engineer, E-commerce Governance Algorithms

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Build AI systems for e-commerce governance and experience, combating fraud and low-quality listings while improving delivery reliability and logistics performance. Work on graph-powered risk networks, LLM-based multi-modal cross-modal fusion, and time-series forecasting for operational metrics like delays and cancellations. Develop multi-task models (MMoE), causal inference frameworks, and optimize LLM reasoning (DPO/GRPO) to improve seller compliance, user trust, and supply chain efficiency.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build graph-powered risk networks to identify similar product clusters and high-risk seller/creator groups to reduce false advertising incidents.
•Develop LLM-based multi-modal systems with cross-modal fusion to detect false advertising and low-quality products, and deploy AI suggestions to improve seller compliance.
•Lead time-series forecasting for logistics performance metrics such as delivery delays and cancellation rates to improve the e-commerce experience.
•Develop multi-task models using MMoE and dynamic loss functions to improve platform product, service, and logistics health.
•Optimize LLM reasoning (DPO/GRPO), build heterogeneous relationship graphs, and create unified time-series forecasting models to predict inventory shortages and demand surges.

Key Requirements

•Proficient in Python/C++ and machine learning frameworks (PyTorch/TensorFlow).
•Deep experience with graph neural networks, time series analysis, or LLMs.
•3+ years in anti-fraud, prediction/forecasting, e-commerce governance, or related fields.
•Track record of delivering AI solutions with measurable business impact.
•Strong communication skills to collaborate cross-functionally and influence stakeholders.

Experience:3+ yearsAnti-fraudE-commercePrediction/forecasting

Skills:CommunicationCross-functional collaborationStakeholder influenceProblem-solving

Tech Stack:PythonC++PyTorchTensorFlowGraph Neural NetworksTime Series PredictionLarge Language Models (LLM)Multi-Objective OptimizationMulti-modal systemsCross-modal fusionMMoEDynamic loss functionsCausal inferenceDPOGRPOTabular data modelingHeterogeneous graphs

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

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ByteDance

1 day ago

Machine Learning Engineer, E-commerce Governance Algorithms

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Build graph-powered risk networks to identify similar product clusters and high-risk seller/creator groups to reduce false advertising incidents.
•Develop LLM-based multi-modal systems with cross-modal fusion to detect false advertising and low-quality products, and deploy AI suggestions to improve seller compliance.
•Lead time-series forecasting for logistics performance metrics such as delivery delays and cancellation rates to improve the e-commerce experience.
•Develop multi-task models using MMoE and dynamic loss functions to improve platform product, service, and logistics health.
•Optimize LLM reasoning (DPO/GRPO), build heterogeneous relationship graphs, and create unified time-series forecasting models to predict inventory shortages and demand surges.

Key Requirements

•Proficient in Python/C++ and machine learning frameworks (PyTorch/TensorFlow).
•Deep experience with graph neural networks, time series analysis, or LLMs.
•3+ years in anti-fraud, prediction/forecasting, e-commerce governance, or related fields.
•Track record of delivering AI solutions with measurable business impact.
•Strong communication skills to collaborate cross-functionally and influence stakeholders.

Experience:3+ yearsAnti-fraudE-commercePrediction/forecasting

Skills:CommunicationCross-functional collaborationStakeholder influenceProblem-solving

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