1,581 jobs for "Logistics Operations"

Research Scientist Intern - LLM Applications for International E-commerce Scenarios - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

At TikTok

Posted on Apr 16

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District Manager

At Sonepar USA Inc - Kennesaw

Posted on Oct 16

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HR Manager (Supply Chain)

At CRH - Morristown

Posted on Aug 26

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Production Coordinator

At SpaceX - Long Beach

Posted on Nov 7

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Senior Product Manager - Fulfillment

At Flexport - Beijing · Shanghai

Posted on Sep 11

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Logistics Information Technology Transformation Consultant

At Deloitte - Rosslyn

Posted on Oct 31

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Logistics Business Process & Data Integration Manager

At Deloitte - Cincinnati · McLean

Posted on Oct 13

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Import Operations Specialist - (B2)

At Applied Materials - Austin

Posted on Sep 11

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Warehouse Assistant

At Leidos - Brisbane

Posted on Oct 16

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Supply Chain Planner - Senior

At Cummins - Pithampur

Posted on Oct 15

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Process Automation and IT Engineer

At Schneider Electric

Posted on Sep 2

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Senior Product Manager, Ops Tech

At Flexport - Bellevue · San Francisco

Posted on Nov 3

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Sales and Distribution Associate(販売管理担当者)

At CSL - Tokyo

Posted on Nov 2

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Senior Program Manager, Site Technology

At Uber - San Francisco · Sunnyvale

Posted on Oct 26

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Logistics Manager

At Leidos - Springfield

Posted on Nov 7

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Manager, Conferencing & Event Operations

At Charles Schwab - Lone Tree

Posted on Nov 7

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Senior Logistics Specialist

At Bechtel - Houston

Posted on Nov 6

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Product Operations Coordinator - Customer Programs

At Experian - Remote / Flexible

Posted on Nov 4

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Manager, Supply Chain Warehouse Operations

At Spectrum - Duluth

Posted on Nov 4

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School to Work - Logistics - 1st Shift

At Cummins - Columbus

Posted on Nov 2

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TikTok

Research Scientist Intern - LLM Applications for International E-commerce Scenarios - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

SingaporePosted Apr 16, 2026

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Responsibilities

We are looking for talented individuals to join us for an internship in 2027. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at Our Company provides students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Team Introduction: The Data-Global E-Commerce team serves as the core technological engine for ByteDance's Global E-commerce. We specialize in pioneering algorithmic and big data innovations within the E-commerce sector, driven by our mission: "To make a beautiful life readily accessible and to help unique, high-quality products reach a global market." Our work involves: Developing advanced recommendation and search algorithms to help users efficiently discover products that match their interests. Leveraging cutting-edge risk control and platform governance technologies to ensure a secure shopping environment for all users. Constructing a comprehensive product knowledge graph and intelligent customer service systems to elevate the intelligence of every stage of the transaction process. Integrating machine learning with operations research algorithms to continuously optimize supply chain and logistics efficiency, thereby reducing operational costs. Providing merchants with intelligent business tools that empower them to enhance their operational efficiency and customer service experience. By joining us, you will collaborate with world-class product and technology teams, leveraging ByteDance's extensive traffic and data ecosystem to drive the deep integration and application of technology across various e-commerce scenarios.
Topic Content: In today's global e-commerce landscape, intelligent systems must operate across increasingly complex and dynamic business environments. Yet existing approaches still face limitations in long-horizon forecasting, cross-modal understanding, and holistic decision-making.This initiative is focused on building a next-generation foundational large model purpose-built for global e-commerce applications. The model will integrate key business dimensions-such as users, products, content, logistics, and inventory-into a unified representation to support deep, context-aware intelligence at scale.
Topic Challenges: 1. Heterogeneous fusion and alignment: Unified modeling of user behavior sequences, product sales time-series signals, and multimodal product content to achieve deep semantic alignment across high-dimensional temporal data and multimodal representations. 2. Synergy between recommendation LLMs and world models: Reformulating the recommendation problem as a generative task of producing ranked item lists for users, and leveraging large model technologies to enable end-to-end recommendation modeling. 3. Tokenizer of recommendation items: Designing scalable tokenization mechanisms to encode billions of items into multimodal and semantically rich representations, supporting training and generation tasks. This includes pretraining over tens of terabytes of user behavior tokens, improving scaling law performance through optimized model architectures and training strategies, and reframing diverse recommendation tasks as post-training objectives. Recommendation modeling is further enhanced using RLVR-style approaches to maximize GMV and user experience. In addition, training and inference are co-optimized, with high-performance recommendation systems built on large-model inference frameworks such as SGLang. 4. Multimodal large models for e-commerce: Developing multilingual, multimodal large models tailored for e-commerce, achieving state-of-the-art (SOTA) performance across core e-commerce scenarios. Building on this foundation, we establish an e-commerce agent backbone to enable scalable deployment of agent applications across diverse use cases. 5. Agent evaluation, safety, and compliance: Establishing evaluation metrics and benchmarks aligned with real-world business scenarios to ensure the robustness, safety, and compliance of agent systems, particularly under highly constrained and adversarial conditions.
Topic Value: Building a general-purpose multimodal foundation to enable power-law scaling through iterative advancements in models, data, and compute, thereby strengthening the infrastructure for scalable AI foundations. 2. Establishing a global e-commerce foundation model to drive GMV growth and user retention through generative recommendation, time-series large models, and agent-based systems.

Qualifications

Minimum Qualifications
1. Currently pursuing PhD in Computer Science, AI, Mathematics, or a related technical discipline, with a strong foundation in data structures, algorithms, and mathematical modeling.
2. AI/ML Expertise: Solid understanding and research experience in Deep Learning, NLP, CV, Reinforcement Learning, Generative Models, or Multimodal Learning.

Preferred Qualifications
1. Priority will be given to candidates with publications in international AI/CS conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, KDD, SIGIR, WWW) or top rankings in recognized algorithmic competitions.
2. Excellent programming abilities in leading or participating in key projects related to Search, Advertising, Recommendation systems, or Large Language Models (LLMs).
3. Strong resilience, excellent communication and teamwork skills; passionate about technology, willing to embrace challenges with the team, and a drive for innovation.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications
1. Currently pursuing PhD in Computer Science, AI, Mathematics, or a related technical discipline, with a strong foundation in data structures, algorithms, and mathematical modeling.
2. AI/ML Expertise: Solid understanding and research experience in Deep Learning, NLP, CV, Reinforcement Learning, Generative Models, or Multimodal Learning.

Preferred Qualifications
1. Priority will be given to candidates with publications in international AI/CS conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, KDD, SIGIR, WWW) or top rankings in recognized algorithmic competitions.
2. Excellent programming abilities in leading or participating in key projects related to Search, Advertising, Recommendation systems, or Large Language Models (LLMs).
3. Strong resilience, excellent communication and teamwork skills; passionate about technology, willing to embrace challenges with the team, and a drive for innovation.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

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