Applied Scientist, AIGC Support

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

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
TikTok's content understanding team is seeking experienced Data Scientists, at the Sr. level, to support the company's cutting-edge endeavors in building generative AI. This team is responsible for both supporting AI researchers with annotated data and developing its own LLM/ML tools for optimizing the labeling and model evaluation processes. We seek highly driven, highly motivated individuals desire to work hands-on with this cutting-edge technology.

Responsibilities
This role requires an experienced well-rounded Data Scientist who is able and willing to deeply understand problem domains and iterate quickly in the search for models that both solve stakeholder needs and fulfill technological best practices. Among the responsibilities:
- Develop NLP models that accelerate the development of large foundational models and, with the help of a broader team, shepherd them into production;
- Mentoring researchers and business stakeholders on best practices for data collection and fine tuning processes for LLMs and other Large Foundational Models;
- Collaboratively build a well-considered experiment plan and document results carefully; patiently answer questions from technical and non-technical stakeholders;
- Proactive requirements gathering from international stakeholders with diverse professional specialization;
- Understand product requirements, drive clarity, and break down technical tasks into smaller units;
- To work in a collaborative team of interdependent colleagues; to share code liberally; to scope and accomplish work according to a sprint cycle;
- Support researchers and labeling staff to perform investigations when data-related problems arise;
- Perform basic project management when delivering an ML solution for large, complex product teams;

Qualifications

Minimum Qualifications
- 3+ years of hands-on experience building ML solutions to solve real-world business problems
- 3+ years of hands-on experience with one or more subdomains of NLP, such as natural language understanding (NLU)
- Knowledge of ML fundamentals, including common algorithms in major paradigms (i.e., supervised, unsupervised, reinforcement), evaluation strategies, optimization (e.g., gradient descent, parameter tuning), and sampling;
- Ability to research state-of-the-art algorithms and industry best practices, then apply them to problems at hand;
- Excellent written and spoken communication skills to communicate with business stakeholders and international teams;
- Advanced skills in Python;
- Advanced skills in SQL, databases, and general data modeling;
- Experience deploying ML models "at scale" and ability to reason about trade-offs (hardware, volume, velocity, model size, etc.)
- Knowledge of and experience with "full stack" development, including writing backend API, modifying frontend clients, troubleshooting bottlenecks, and model hosting

Preferred qualifications:
-Document processing, information extraction, information retrieval, and dependency parsing; experience with multilingual NLP
-Hands-on experience fine-tuning encoder-only (e.g., BERT) or decoder-only (e.g., LLaMA) LLM
- Experience with active learning and human-in-the-loop ML
- Experience with experiment design
- Ability and willingness to partake in product design
- Project management experience

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 app