Job

Machine Learning Engineer Graduate (E-Commerce Knowledge Graph - CV/Multimodal/NLP) - 2024 Start (MS)

TikTok

•

Oct 19

💼 Graduate Job

Seattle

The ideal candidate should have a degree in Computer Science or a related technical field, with a passion for machine learning, NLP, multimodal systems, and computer vision. They should also have experience with programming languages such as C++, Python, Go, or Java, along with familiarity with deep learning frameworks like TensorFlow/PyTorch. Strong teamwork and communication skills, as well as exposure to relevant technical scenarios and knowledge of text classification and knowledge graphs, are also desired. Additionally, experience with large-scale text data processing or tools like Hadoop/Spark/Hive/Flink would be a plus.
As a Machine Learning Engineer Graduate at TikTok, you will be responsible for developing and constructing vast knowledge graphs to enhance feed ranking, recommendations, and ads, collaborating with cross-functional teams to shape product strategies and features, and crafting intricate knowledge maps to analyze buyer and product connections.

Graduate Job

Data•Seattle

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 2024. 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.

A Bachelor’s, Master’s, or 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!
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.

Final Year

Bachelors

Masters

PhD

Data

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.

Work type

Full time

Work mode

office

Location

Seattle