Responsibilities

Our team is responsible for developing state-of-the-art NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform. More specifically, our team is responsible for the algorithms of Product Knowledge Graphs under Tik Tok's global e-commerce business.

What you will do:

• Participate in the development of massive knowledge graphs of real-world products to support feed ranking, recommendations, and ads.
• Collaborate with product managers, data scientists, and the product strategy & operation team to define product strategies and features.

Responsibilities:

• Knowledge graph construction, including product/content/feedback understanding and category/brand/SPU construction.
• Construct knowledge graphs of buyers and products.

Qualifications

Minimum Qualifications:

• Bachelor's degree in Computer Science or related technical field
• 3+ working experience in one of the following fields: machine learning, NLP, and computer vision
• Experience with software development in at least one of the following programming languages: C++, Python, Go, Java
• Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.

Preferred Qualifications:

• Proficient in using at least one mainstream deep learning frameworks such as Tensor Flow/Py Torch, understanding distributed training, distillation acceleration, and other implementation methods.
• Experience in text classification, text matching, sequence labeling, knowledge graph.
• Aware of certain processing methods and optimization experience on domain adaptation, small sample construction, text mining, unsupervised/semi-supervised and other similar issues.
• Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT, etc.), have practical experience in deep learning training and reasoning model tuning.
• Experience in large-scale text data processing or cleaning (Such as using Hadoop/Spark/Hive/Flink).

Compensation

The base salary range for this position in the selected city is $136,800 - $259,200 annually.

Compensation may vary outside of this range depending on a number of factors, including 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

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Los Angeles County (Unincorporated) Applicants

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.