Responsibilities

• You will be responsible for developing and optimizing the intelligent customer service of Tik Tok shopping. This role will work closely with our product and operation teams to understand the intentions of our users, design solutions of experience excellence, and convey these solutions to our users conversationally, with the support of cutting-edge LLMs technology. You will have the chance to develop NLP models (like text classification, machine reading, summarization) and prediction models (like question prediction and chatbot action prediction) to achieve the above goals.

• You will be responsible for developing and optimizing the machine translation service of Tik Tok shopping to better support cross-region product listing, buyer-seller communication, and commenting. You will have the chance to develop machine translation models for the conversational environment and text generation models from multi-modality inputs.

• You will be responsible for developing and optimizing the multi-modal AIGC model for product copywriting, including product title, selling points, description and live broadcast script creation etc. You will have the chance to apply cutting edge AIGC models to save human effort and improve business performance.

About the Job

Responsible for the NLP-related research and development, mainly including:

• Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model.

• Building the prediction model by mapping the shopping journey of our users to chatbot actions, including suggesting common question-answers and transferring the user to human agent, with cutting-edge prediction models (like Boosting, deep CTR).

• Building the generation model by understanding business requests, exploring proper instructions, developing high-quality data, and finetuning a language model of billions of parameters (e.g., 13B, 60B).

• Working closely with our product and operation teams to quantitatively understand the impact of our chatbot and continuously bridge the business improvement action to model optimization action.

Qualifications

Minimum Qualifications:

• Currently pursuing PhD degree with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines.

• Large language models, natural language generation, machine translation, question answering, machine reading, information extraction, text mining and classification etc.

• Work experience in e-commerce or the Internet industry is preferred.

• Practical experience in NLP (dialogue system, machine translation, nlp-related projects in IR/Ads system, etc.) are preferred.

• Familiar with at least one computer programming language, including but not limited to go/python/Java.

• Experience of big data development, including but not limited to hive, spark

• Candidates who have published high-quality papers are preferred, including but not limited to ACL, EMNLP, COLING, AAAI, IEEE TASLP, etc.

Additional Information

Our team is responsible for developing next-generation chatbot and machine translation solutions to improve the Tik Tok Shopping experience across the world. We are currently looking for talented engineers that have a deep understanding of natural language processing and machine learning, especially ones with solid skills and experience of large language models, machine translation, and conversational AI.

We are looking for talented individuals to join our team in 2025. 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 Tik Tok.

Successful candidates must be able to commit to an onboarding date by end of year 2025. We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.

Applications will be reviewed on a rolling basis. We encourage you to apply early.

Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to Tik Tok and its affiliates' jobs globally.

Compensation

Base Salary Range: $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
• 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)

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

Fair Chance Policy

For Los Angeles County (unincorporated) Candidates:

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
3. Exercising sound judgment