Machine Learning Engineer - Logistics Fulfillment

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Learning ability","Curiosity","Clear logic","Teamwork","Communication"]

Build and deploy AI/operations research algorithms for global logistics and fulfillment. Implement deep reinforcement learning for in-warehouse decisions (order batching, wave picking, dynamic packaging), design first-mile/last-mile scheduling and routing, and advance middle-mile trunk transportation optimization. Contribute to global network planning using large-language-model-driven simulation, explore multimodal AI for warehouse scanning and traceability, and help productize algorithms with cross-functional partners.

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FursaFursa
ByteDance
ByteDance
1 month ago

Machine Learning Engineer - Logistics Fulfillment

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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 and deploy AI/operations research algorithms for global logistics and fulfillment. Implement deep reinforcement learning for in-warehouse decisions (order batching, wave picking, dynamic packaging), design first-mile/last-mile scheduling and routing, and advance middle-mile trunk transportation optimization. Contribute to global network planning using large-language-model-driven simulation, explore multimodal AI for warehouse scanning and traceability, and help productize algorithms with cross-functional partners.
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 warehouse operations, including algorithm development and system implementation/iteration.
  • •Build reinforcement-learning-based algorithms for first-mile/last-mile decisions such as dynamic collection routes, merchant onboarding/offboarding, and regional division; improve delivery-station allocation and prediction models.
  • •Participate in global logistics backbone network planning by simulating complex supply chain scenarios with large language models and optimizing decision-making efficiency and scientific rigor.
  • •Develop middle-mile intelligent scheduling algorithms, including reinforcement learning for trunk-line dynamic routing and capacity scheduling.
  • •Advance AI innovation by applying multimodal large models for warehouse image recognition, missing-part identification, and automated traceability of abnormal scenarios; productize algorithms with cross-functional partners.

Key Requirements

  • •Bachelor’s degree or above in math, statistics, computer science, industrial engineering, supply chain/logistics, operations research, or related fields.
  • •Strong data structures and algorithm design foundation; proficiency in at least one programming language such as Python, Java, C++, or R.
  • •Expertise in deep learning and reinforcement learning (including sequence decision-making and multi-agent RL), operations research optimization (integer and stochastic programming), and large models (LLM fine-tuning, multimodal large models).
  • •Prefer logistics/supply-chain experience with relevant algorithm implementation.
  • •Strong learning ability, clear logic, teamwork and communication skills, and proficient English writing/communication.
Experience:LogisticsSupply chain
Education:Bachelor's
Skills:Learning abilityCuriosityClear logicTeamworkCommunication
Languages:English
Tech Stack:PythonJavaC++RData structuresAlgorithmsDeep learningReinforcement learningSequence decision-makingMulti-agent reinforcement learningOperations research optimizationInteger programmingStochastic programmingLarge modelsLLM application fine-tuningMultimodal large models

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