Responsibilities
About TikTok U.S. Data Security
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this
commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
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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 plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey!
Responsibilities
- Build an intelligent dialogue system, including mining questions and answers based on user intent for the TikTok Shop Platform Customer Service.
- Work on the automatic evaluation pipeline of Generative large language modules (LLMs) for Intent Classification, Text Matching, and Answer Generation.
- Develop multilingual text generation such as products' copy, dialogue summary, email reply, etc.
- Work on knowledge graph construction, including product/content/feedback understanding and category/brand/SPU construction.
- Work on language understanding, including intention recognition, emotion recognition, FAQ, etc.
- Construct knowledge graphs of buyers and products.
- Create a data repository tool to manage large scale datasets using the Hugging Face Datasets Library.
- Fine-tune GPT-like decoder only models for intent recognition, query matching, and answer generation.
- Mentor junior level Machine Learning Engineers and interns.
Qualifications
Qualifications
Must have a Master's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience.
Of the required experience, must have 2 years of experience in each of the following:
- Identifying metrics and designing experiments to evaluate the performance of input recommender, article answers, article recommendation, and app event optimization by applying the following: (1) Accuracy, Precision, Recall, and F1 Score, (2) hypothesis testing, (3) A/B testing, and (4) CPC, CPM, CVR, CTR, and eCPM;
- Prototyping, building, and optimizing ML models DNN, BERT, BM25, and TF-IDF to improve the performance of the following ML products: Input recommender, article answers, article recommendation, and app event optimization;
- Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow;
- Researching, testing, and productionizing state-of-the-art deep learning models and methods;
- Conducting data analysis to improve the performance of the following ML products: Input recommender, article answers, article recommendation, and app event optimization; and
- Coding using Python or C++.
Employer: TikTok U.S. Data Security Inc.
Type: Full time, 40 hours/week
Location:Mountain View, CA
Salary Range: $295194 - $355000 per year
To Apply, click the apply button below. Contact lpresumes@tiktokusds.com if you have difficulty submitting resume through the website.
TikTok U.S. Data Security 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 U.S. Data Security, 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 U.S. Data Security 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 lpresumes@tiktokusds.com.
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Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $295194 - $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.
Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:
We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.
Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.