Machine Learning Engineer, Global E-Commerce (ETA, Pricing & Conversion)

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving","Data-driven decision making","Experimentation","Innovation"]

Build large-scale, consumer-facing ML systems for global e-commerce, connecting shopping discovery to physical fulfillment. Work on end-to-end ETA prediction using the proprietary OneTrans model, intelligent shipping and pricing via causal inference, and conversion-focused search/recommendation ranking with dynamic impression allocation. Innovate with domain-specific LLM training (CPT, SFT, RL) and deploy AI Agents to diagnose and resolve complex user and operational issues.

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FursaFursa
ByteDance
ByteDance
1 month ago

Machine Learning Engineer, Global E-Commerce (ETA, Pricing & Conversion)

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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

Build large-scale, consumer-facing ML systems for global e-commerce, connecting shopping discovery to physical fulfillment. Work on end-to-end ETA prediction using the proprietary OneTrans model, intelligent shipping and pricing via causal inference, and conversion-focused search/recommendation ranking with dynamic impression allocation. Innovate with domain-specific LLM training (CPT, SFT, RL) and deploy AI Agents to diagnose and resolve complex user and operational issues.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and optimize end-to-end ETA prediction systems using the proprietary OneTrans model and spatio-temporal deep learning.
  • •Design and implement intelligent shipping-fee pricing and free-shipping strategies using causal inference and multi-objective optimization.
  • •Integrate fulfillment factors (delivery speed, shipping cost) into search and recommendation ranking and dynamic impression allocation.
  • •Develop and train domain-specific LLMs using CPT, SFT, and reinforcement learning to support e-commerce needs.
  • •Design and deploy AI Agents using an “Agent + Skill” framework to autonomously diagnose and resolve complex issues.

Key Requirements

  • •Master’s or PhD in Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative field.
  • •Strong data structures and algorithms with programming proficiency in Python, C++, or Java.
  • •Hands-on applied machine learning experience processing large-scale data using Big Data tools (e.g., Spark, Hive SQL) and deep learning frameworks (e.g., TensorFlow, PyTorch).
  • •Experience with A/B testing, experimentation design, and data-driven decision making.
  • •Ability to translate complex, open-ended business problems into scalable algorithmic solutions.
Experience:E-commerce
Education:Bachelor's
Skills:Problem-solvingData-driven decision makingExperimentationInnovation
Tech Stack:PythonC++JavaSparkHive SQLTensorFlowPyTorchA/B testingLarge Language Models (LLMs)Causal InferenceDeep LearningGraph Neural NetworksReinforcement LearningSupervised Fine-Tuning (SFT)Continual Pre-Training (CPT)RLHFRLAIF

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