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, with the goal of bridging various aspects of the business and maintaining close collaboration with other teams.
Requirements
- PhD degree in Computer Science or a related technical field.
- 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.
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
- 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.
- Commit to an onboarding date by end of year 2026.
- State availability and graduation date clearly in resume.
- Recent graduates are highly encouraged to apply!
