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.

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.

SMB engineering team is responsible for developing software to empower all small and medium businesses to succeed by building scalable platforms, seamless products and comprehensive solutions. In the next few years, while SMB revenue will be the significant portion of total ads business, as an engineering team, we also dedicate ourselves to solving challenging but interesting problems in a more scalable and innovative way through advanced software architecture, engineering practice and cutting-edge algorithms. At the same time, we closely work with strategies, data scientists, product managers, operations and sales teams. Diversity in skills, culture and background is our source of power.

We are looking for machine learning engineers who are passionate about innovating, creating and evolving scalable and reliable software, architecture and technical solutions to systematically and aggressively enable our SMB customers' success and grow our company's revenue. You will work on many different challenging problems, such as creative recommendation, ads delivery, personalized coupons, LLM-based customer support, etc.

Responsibilities:
- Design and implement core SMB platforms and features.
- Design series of experiments and iterations, engage with machine learning system architects and lead key components in architecture.
- Be the expert and go to person of architecture, technical stack and engineering practices in the team.
- Deliver with timeline. Manage owned project priorities, deadlines, deliverables, and quality. Responsible for the maintenance of delivered features and systems.
- Take open-ended problems, create solutions with constrictions and land smoothly.
- Develop, deploy, optimize, troubleshoot and operate large distributed systems
- Collaborate Crossfunctionally and globally.