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

Responsibilities TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. Team Introduction: 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 thie 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. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2025. We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally. 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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Role Overview: As a part of our team, you will: - 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. Key Responsibilities: - Craft intricate knowledge graphs, encompassing areas like product/content insights and category/brand/SPU development. - Architect knowledge maps detailing buyer and product connections. Qualifications Minimum Qualifications: - PhD degree in Computer Science or a related technical field. Recent graduates are highly encouraged to apply - 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. - 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 Bonus Points For: - 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. TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.