Applied Scientist, TikTok E-Commerce - Conversational AI, USDS

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the team
Our team is responsible for developing cutting-edge 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 Intelligent Customer Service under TikTok's global e-commerce business.

What you will do:
- Building next-generation AI customer services using LLMs within the TikTok e-commerce ecosystem to better serve our customers.
- Collaborate with product managers, data scientists, and the product strategy & operation team to define product strategies and features.

Responsibilities:
1. Applying LLMs for a variety of multilingual and multimodal scenarios of e-commerce business.
2. Establishing a generative-based AI chatbot that is capable of resolving post-sale issues and achieving pre-sale interactive consultations.
3. Text generation, including product titles and descriptions, dialogue summary, auto-replying of emails and tickets, etc.
4. Machine translation, including optimizing translation quality in dozens of scenarios and language pairs in the e-commerce scenarios, as well as the research of related cutting-edge technologies.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

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

Preferred Qualifications:
- Experience in NLP and LLM technologies.
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• Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.
- Proficient in using at least one mainstream deep learning framework such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
- 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).

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/ktJP6

This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $145000 - $355000 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 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.

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; and

3. Exercising sound judgment.