The Knowledge Graph team at ByteDance is looking to solve the problem of categorizing products, influencers, and merchants, mining product information, and providing this data to the recommendation team, while also managing operations related to product tags and category attributes.
Requirements
- Familiarity with or coursework related to programming languages like C++, Python, Go, or Java.
- Passion or exposure to areas like machine learning, NLP (Natural Language Processing), multimodal systems, and computer vision.
- 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.
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.
Other
- Bachelor's degree or above final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline;
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Strong teamwork and communication skills.
- Any hands-on experience or group projects in relevant technical scenarios will be a plus!
- Commit to an onboarding date by end of year 2026.
