Machine Learning Engineer Intern (E-Commerce Knowledge Graph - CV/Multimodal/NLP) - 2026 Summer (BS/MS)

About the role

The Knowledge Graph team is responsible for the neural network of e-commerce, which includes tasks such as categorizing products, influencers, and merchants, mining product information, and providing this data to the recommendation team. Additionally, they manage operations related to product tags and category attributes. When we come across a product, they determine whether it belongs to the clothing or sports category, who the product will be suitable for, etc. Furthermore, the team conducts competitive research, identifying top-performing items on the platform and analyzing why one similar product outperforms others. They are also involved in brand recognition. This team plays a pivotal role, in bridging various aspects of our business and maintaining close collaboration with other teams.

Responsibilities

• Craft intricate knowledge graphs, encompassing areas like product/content insights and category/brand/SPU development;
• Arcitect knowledge maps detailing buyer and product connections.

Qualifications

• Individuals who are completing or have recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Must be able to commit to a 12-week full-time work period during Summer 2026
• Experience in at least one of the technological areas:
• LLM, natural language generation, named entity recognition, machine translation, question answering, knowledge graph, information extraction, text mining and classification etc.
• Computer vision, facial recognition, multimodal learning, object detection & tracking, image classification etc.
• Machine learning, transfer learning, graph embedding, representative learning, large-scale optimization, recommendation, reinforcement learning, etc.
• Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.
• Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
• Strong analytical and problem-solving skills;

Job Information

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $42.75- $42.75.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Diversity & Inclusion

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.