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

TikTok
Seattle
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Data-driven decision making","Experimentation","Translating business problems","Analytical thinking"]

Build large-scale machine learning systems for global e-commerce that connect discovery, search, and recommendations to real-world fulfillment. Own end-to-end ETA prediction using the OneTrans Model, and design pricing and subsidy strategies with causal inference. Integrate logistics factors into ranking and impression allocation to improve conversion, retention, and GMV. Advance LLM and AI agent capabilities using continual pre-training, fine-tuning, and reinforcement learning.

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FursaFursa
TikTok
TikTok
1 month ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build large-scale machine learning systems for global e-commerce that connect discovery, search, and recommendations to real-world fulfillment. Own end-to-end ETA prediction using the OneTrans Model, and design pricing and subsidy strategies with causal inference. Integrate logistics factors into ranking and impression allocation to improve conversion, retention, and GMV. Advance LLM and AI agent capabilities using continual pre-training, fine-tuning, and reinforcement learning.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and optimize end-to-end ETA prediction systems leveraging the proprietary OneTrans Model.
  • •Use causal inference to design shipping-fee pricing, free-shipping strategies, and subsidy-pricing coordination.
  • •Integrate fulfillment factors (delivery speed, shipping cost) into search and recommendation ranking algorithms, including impression allocation and dynamic presentation.
  • •Develop domain-specific LLMs using continual pre-training and supervised fine-tuning, and apply reinforcement learning for model improvements.
  • •Design and deploy AI agents using an "Agent + Skill" framework to diagnose and resolve complex user-facing and operational issues.

Key Requirements

  • •Master’s or PhD in Computer Science, Statistics, Mathematics, Operations Research, or a related highly 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 with 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-commerceMachine learningLarge-scale dataExperimentation
Skills:Problem-solvingData-driven decision makingExperimentationTranslating business problemsAnalytical thinking
Tech Stack:PythonC++JavaSparkHive SQLTensorFlowPyTorchLarge Language ModelsLLMsAI AgentsContinual Pre-Training (CPT)Supervised Fine-Tuning (SFT)Reinforcement Learning (RL)RLHFRLAIF

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