Machine Learning Engineer Graduate (E-Commerce Knowledge Graph) - 2027 Start

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 product managers, data scientists, and the 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.
• Categorize products, influencers, and merchants, mine product information, and provide this data to the recommendation team.
• Manage operations related to product tags and category attributes.
• Determine product categories (e.g., clothing or sports), suitability, and target audiences.
• Conduct competitive research to identify top-performing items and analyze performance differences between similar products.
• Engage in brand recognition initiatives.
• Bridge various aspects of the business and maintain close collaboration with other teams.

Qualifications

• Minimum: Completing or recently completed a Bachelor’s degree in Software Development, Computer Science, Computer Engineering, or a related discipline.
• Passion or exposure to machine learning, NLP, multimodal systems, and computer vision.
• Familiarity with or coursework in programming languages such as C++, Python, Go, or Java.
• Strong teamwork and communication skills.
• Hands-on experience or group projects in relevant technical scenarios is a plus.

Preferred Qualifications

• Completing or recently completed a Master’s degree in Software Development, Computer Science, Computer Engineering, or a related discipline.
• Familiarity with deep learning frameworks like TensorFlow or 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, or Flink.

Pay

The base salary range for this position in San Jose, CA is $128,000 – $316,800 annually. Compensation may vary outside of this range depending on qualifications, skills, competencies, experience, and location. Base pay is one component of the Total Package, which may include additional discretionary bonuses/incentives and restricted stock units.