Machine Learning Engineer Intern (E-Commerce Knowledge Graph - CV/Multimodal/NLP) - 2026 Summer[...]

Responsibilities

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.

Internship Details

We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands‑on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance.

Internships at ByteDance aim to provide students with hands‑on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real‑world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates’ jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date).

Summer Start Dates May 11th, 2026 May 18th, 2026 May 26th, 2026 June 8th, 2026 June 22nd, 2026 Responsibilities Craft intricate knowledge graphs, encompassing areas like product/content insights and category/brand/SPU development; Architect knowledge maps detailing buyer and product connections. Minimum Qualifications Currently pursuing a PhD in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines; 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.; Work experience in e‑commerce or the Internet industry is preferred; 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; Work and collaborate well with team members.

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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.

For Los Angeles County (unincorporated) Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment. About Us

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