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

About the role

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 evaluating a product, the team determines whether it belongs to the clothing or sports category, who the product is suitable for, and similar attributes. The team also conducts competitive research, identifying top-performing items on the platform and analyzing why one similar product outperforms others, and is involved in brand recognition. This team plays a pivotal role in bridging various aspects of the business and maintaining close collaboration with other teams.

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.

Qualifications

Minimum Qualifications

• Individuals who are completing or have recently completed a Bachelor's degree in Software Development, Computer Science, Computer Engineering or a related discipline.
• 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.

Preferred Qualifications

• Individuals who are completing or have recently completed a Master's degree in Software Development, Computer Science, Computer Engineering or a related discipline.
• 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.

Pay

The base salary range for this position in the selected city is $128,000 – $316,800 annually. Compensation may vary outside of this range depending on a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits

• Day one access to medical, dental, and vision insurance
• 401(k) savings plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)