Machine Learning Engineer Graduate (E-Commerce Knowledge Graph - CV/Multimodal/NLP)

About the Team

The Knowledge Graph team is integral to the neural network of e-commerce at ByteDance, focusing on tasks such as categorizing products, influencers, and merchants, mining product information, and supplying this data to the recommendation team. They also manage product tags and category attributes, helping to determine product classifications and suitability. Additionally, the team conducts competitive research to identify top-performing items and analyzes factors contributing to their success, alongside brand recognition initiatives. This team is crucial for bridging various business aspects and collaborating closely with other teams.

About the Role

We are seeking talented graduate individuals to join our team in 2026. This role offers unparalleled opportunities to kickstart your career, pursue bold ideas, and explore limitless growth within ByteDance. You will contribute to co-creating a future driven by your inspiration. Successful candidates must be able to commit to an onboarding date by the end of 2026. Please clearly state your availability and graduation date in your resume.

Responsibilities

• Dive deep into the construction and development of vast knowledge graphs that encapsulate real-world products, aiding in feed ranking, recommendations, and ads.
• Collaborate closely with our dedicated product managers, astute data scientists, and the strategic product & operation team to craft forward-thinking product strategies and features.
• 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

• Bachelor's degree or above (final year student) with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• Passion or exposure to areas like machine learning, NLP (Natural Language Processing), multimodal systems, and computer vision.
• Familiarity with or coursework related to programming languages like C++, Python, Go, or Java.
• Strong teamwork and communication skills. Any hands-on experience or group projects in relevant technical scenarios will be a plus.

Preferred Qualifications

• Familiarity with deep learning frameworks like TensorFlow/PyTorch.
• Coursework or projects related to text classification, text matching, sequence labeling, and knowledge graphs.
• Knowledge of domain adaptation, text mining, and unsupervised/semi-supervised methodologies.
• Experience with machine learning and deep learning algorithms, and text representation methods.
• Exposure to large-scale text data processing or tools like Hadoop/Spark/Hive/Flink.