Engineering Leader, Foundation Models

3 weeks ago

Singapore TIKTOK PTE. LTD. Full time
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

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.

Team Introduction

Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users' needs with reliable and high-performing platforms and services. We are looking for strong algorithm scientist/lead who are excited to grow their business understanding, build highly scalable machine learning/algorithm models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of TikTok in the world, we are working on building a next-generation content understanding system for TikTok monetization.

Responsibilities

- Explore foundation models and Generative AI and their application in business, including but not limited to text generation/translation, image-to-text, deepfake, efficient training/inference for AIGC models, etc. Track the cutting-edge industry progress, and proactively plan for technical research.

- Lead the team to implement AIGC technologies to content understanding of commercial products, such as ads, e-commerce, short videos, and live streaming, and build a new generation of AIGC-based monetization ecology systems.

- Responsible for the project planning, team building, and cross-team collaboration of the large-scale model algorithm team to build an industry-leading content understanding algorithm team.

Qualifications

Minimum Qualifications

- Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields, with at least 5 years of experience in algorithm research and development, and more than 1 year of experience in team management.

- Have a solid programming foundation. Be familiar with basic data structures and algorithms.

- Have a solid algorithm foundation and rich experience in computer vision or NLP-related tasks. Be proficient with AIGC algorithms, and experienced in developing AIGC models at scale from inception to business impact.

- Be able to keep up with cutting-edge technologies and have a deep insight into industry trends, be responsible for tech design and long-term roadmaps of the entire team.

- Have excellent analytical and problem-solving skills, logical thinking skills, communication, and collaboration skills. Maintain curiosity about new things, and have a strong sense of responsibility, integrity, and reliability.

Preferred Qualification:

- High-impact publications in the AIGC area at top AI conferences or journals (CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.).

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.

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