Machine Learning Engineer - Logistics Fulfillment

TikTok
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Learning ability","Communication","Teamwork","Curiosity","Logical thinking"]

Build and implement AI and operations research algorithms for TikTok’s logistics fulfillment systems across first-, middle-, and last-mile scenarios. You’ll apply deep reinforcement learning and large-model techniques to improve routing, order batching, wave picking, packaging, scheduling, and network planning. Collaborate with cross-functional teams to productize algorithms, simulate complex supply chain scenarios, and develop multimodal innovations for warehouse identification and traceability.

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FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer - Logistics Fulfillment

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build and implement AI and operations research algorithms for TikTok’s logistics fulfillment systems across first-, middle-, and last-mile scenarios. You’ll apply deep reinforcement learning and large-model techniques to improve routing, order batching, wave picking, packaging, scheduling, and network planning. Collaborate with cross-functional teams to productize algorithms, simulate complex supply chain scenarios, and develop multimodal innovations for warehouse identification and traceability.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Implement operations research and AI projects for self-owned and quasi-self-owned warehouses, including deep reinforcement learning for intelligent order batching, wave picking, and dynamic packaging optimization.
  • •Lead algorithm construction for first-mile/last-mile scenarios: route planning, merchant onboard/offboard decisions, regional division, and delivery-station-level order allocation and GTL code prediction.
  • •Build LLM-driven intelligent labor scheduling optimization using business rules and real-time capacity fluctuations to improve last-mile fulfillment efficiency.
  • •Develop logistics backbone network planning capabilities using large language model-based simulation to assess timeliness, traffic, and profit impacts, optimizing network layout decision-making efficiency.
  • •Research and develop intelligent scheduling algorithms for middle-mile scenarios and explore multimodal AI innovations for warehouse identification, missing-part detection, and automatic abnormal traceability.

Key Requirements

  • •Bachelor’s degree or above in mathematics, statistics, computer science, industrial engineering, supply chain/logistics, operations research, or related fields.
  • •Solid data structures and algorithm design foundation, and proficiency in at least one programming language (Python, Java, C++, or R).
  • •Proficiency in deep learning and reinforcement learning (including sequence decision-making and multi-agent RL), plus operations research optimization (integer/stochastic programming).
  • •Experience with large models, including LLM application fine-tuning and multimodal large models, preferably in logistics or supply chain.
  • •Strong learning ability, curiosity, and clear logic, with good teamwork/communication and proficient English writing.
Experience:LogisticsSupply chain
Education:Bachelor's
Skills:Learning abilityCommunicationTeamworkCuriosityLogical thinking
Languages:English
Tech Stack:PythonJavaC++RDeep learningReinforcement learningMulti-agent reinforcement learningSequence decision-makingInteger programmingStochastic programmingLarge modelsLLM fine-tuningMultimodal large modelsLLM-driven schedulingImage recognition

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