Multimodal LLM Algorithm Engineer Intern (Global E-Commerce, Knowledge Graph) - 2027 Start

TikTok; Singapore; On-site; SGD 20,000 - 29,000; Full time

Job summary

TikTok is seeking talented undergraduates or master's students for an internship within the Global E-commerce Algorithm team. You will work on multimodal content understanding, product understanding, and price intelligence to power next-generation content-commerce solutions.

You'll build and improve global catalog and matching systems, explore LLMs and Agents, and participate in data construction, model training, evaluation, and deployment under guidance of senior researchers.

Qualifications

• Currently pursuing an Undergraduate or Master’s degree in a technical discipline (Software Development, CS, CE)
• Strong research or practical experience in NLP, CV, generative models, multimodal learning, large models, or Agents
• Proficiency in PyTorch / TensorFlow and hands-on model training, tuning, deployment

Responsibilities

• Build global product catalog and content understanding systems with structured and semantic representations
• Develop algorithms for identical product matching, deduplication, and cross-lingual product aggregation
• Build pricing algorithms for price comparison, price monitoring, and anomaly detection
• Construct multimodal semantic links across video-product relationships for trend understanding and content-commerce optimization
• Explore generative search and SID modeling across videos, livestreams, products, and queries
• Design and develop generative algorithms for high-engagement e-commerce visuals and localised scene generation
• Explore business-facing Agents leveraging RAG, tool calling, and planning
• Own end-to-end algorithm workflow including data construction, model training, evaluation, deployment, and iteration

Skills

NLP

CV

Generative models

Multimodal learning

Agents

Large models

Education

Undergraduate or Master’s degree in Software Dev/CS/Engineering

Tools

PyTorch

TensorFlow

Job description

About the Team

We are part of the Global E-commerce Algorithm team, building multimodal content understanding, product understanding, semantic matching, pricing intelligence, and intelligent Agent capabilities for global content-commerce scenarios. Leveraging our massive-scale video content and global product data, we explore NLP, CV, Multimodal LLMs, Video LLMs, Multimodal Embedding & SID, Multimodal Reasoning, and Agent technologies to power product catalog construction, identical product matching, content-product linking, price comparison, AIGC content generation, and next-generation generative search and recommendation.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.

Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.

Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

Responsibilities

• Build global product catalog and content understanding systems, modeling products, videos, images, merchants, and brands with structured and semantic representations.
• Develop algorithms for identical product matching, product/merchant/brand deduplication, and cross-lingual product aggregation, addressing multimodal matching, real-time aggregation, multi-granularity clustering, and semantic alignment.
• Build pricing algorithms for price comparison, product pricing, price monitoring, and anomaly detection, supporting subsidy programs, price competitiveness analysis, and supply optimization.
• Construct multimodal semantic links across video-product, product-product, and video-video relationships to support trend understanding, product mining, AIGC generation, and content-commerce supply optimization.
• Explore next-generation generative search and recommendation through full-format representation learning and SID modeling across videos, livestreams, products, and queries.
• Design and develop generative algorithms tailored for high engaging, high conversion e-commerce visual creatives, solving challenges in identity-preserving and aesthetic style consistency to produce production-grade intelligent background synthesis，virtual try-on, and localised lifestyle scene generation.
• Explore business-facing Agents such as price comparison Agents, product analysis Agents, content AIGC Agents, and merchant operation Agents, leveraging RAG, tool calling, planning, reasoning, and automated evaluation.
• Own the end-to-end algorithm workflow, including data construction, model training, evaluation, deployment, badcase analysis, and continuous iteration.

Qualifications

Minimum Qualifications

• Currently Pursuing a Undergraduate or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Strong research or practical experience in NLP, CV, generative models (e.g. Diffusion，GANs，ControlNet) , multimodal learning, large models, or Agents;
• Proficiency in PyTorch / TensorFlow and hands-on experience in model training, tuning, and deployment;

Preferred Qualifications

• Experience with LLM/VLM, Embedding/SID, RAG, Tool Calling, or Agent Planning is preferred.
• experience with distributed training, mixed precision, inference acceleration, TensorRT, or LLM serving optimization is a plus.
• Experience in multimodal retrieval, product understanding, content understanding, search/recommendation, pricing algorithms, intelligent Agents, or AIGC projects is preferred.
• Passion for frontier AI technologies; familiarity with Video LLMs, Multimodal Reasoning, vision-language alignment, long-video understanding, or generative search/recommendation is a plus.
• Publications, open-source contributions, or strong algorithm competition records are preferred. Strong communication, ownership, and a drive to create real business impact are highly valued.

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.