Machine Learning Engineer Graduate – E-Commerce Knowledge Graph – CV/Multimodal/NLP – PhD

Machine Learning Engineer Graduate – E-Commerce Knowledge Graph – CV/Multimodal/NLP – PhD

Requirements

• PhD degree in Computer Science or a related technical field. Recent graduates are highly encouraged to apply!
• Current 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!

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.

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.