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

TikTok
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Data-driven decision making","Experimentation design","Problem-solving"]

Build large-scale machine learning systems that power global e-commerce discovery, search, and recommendations. You’ll develop next-gen ETA prediction using TikTok’s OneTrans Model, apply causal inference for intelligent shipping and pricing, and integrate fulfillment signals into ranking and impression allocation to improve conversion. You’ll also pioneer domain-specific LLMs and AI agents using large-scale e-commerce data and advanced training techniques to diagnose and resolve complex user-facing and operational issues.

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FursaFursa
TikTok
TikTok
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: 8 hours agoStatus: Live

Job Summary

Build large-scale machine learning systems that power global e-commerce discovery, search, and recommendations. You’ll develop next-gen ETA prediction using TikTok’s OneTrans Model, apply causal inference for intelligent shipping and pricing, and integrate fulfillment signals into ranking and impression allocation to improve conversion. You’ll also pioneer domain-specific LLMs and AI agents using large-scale e-commerce data and advanced training techniques to diagnose and resolve complex user-facing 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 OneTrans Model and deep learning on spatio-temporal sequences.
  • •Design and implement intelligent pricing and shipping-fee strategies using causal inference and multi-objective optimization.
  • •Integrate delivery speed and shipping cost into search/recommendation ranking, impression allocation, and dynamic consumer presentation.
  • •Develop domain-specific LLMs using continual pre-training, supervised fine-tuning, and reinforcement learning approaches.
  • •Create AI agents using an “Agent + Skill” framework to autonomously diagnose and resolve user-facing and operational 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 skills in Python, C++, or Java.
  • •Applied ML experience working with 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 business problems into highly scalable algorithmic solutions.
Experience:E-commerce
Education:Master's
Skills:Data-driven decision makingExperimentation designProblem-solving
Tech Stack:PythonC++JavaSparkHive SQLTensorFlowPyTorchLarge Language Models (LLMs)A/B testingDeep learningCausal inferenceBig dataRecSys

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn