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.

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.

We are seeking passionate individuals to explore innovative applications and solutions for large models in TikTok multimedia (e.g. video, images, and audio). Your primary focus will include the following areas:

1. Design and develop state-of-the-art deep learning engineering optimization solutions to support model development and iteration in content understanding and generative AI.
2. Optimize end-to-end efficiency in model training and inference, including but not limited to data management, training/inference acceleration, resource utilization enhancement, distributed training support for large-scale models, model architecture optimization, model compression, etc.
3. Communicate and collaborate with colleagues in cross-functional teams to improve models, algorithms, and engineering infrastructures.
4. Provide AI solutions for multimedia business scenarios across all TikTok products, such as streaming media transmission, image/video/audio creation, content consumption, etc.

Qualifications

1. Proficient in one or more programming languages, such as Python, C, or C++. Familiar with common data structures and basic algorithms.
2. Familiar with computer architecture and operating systems. Have background with distributed systems and design patterns.
3. Familiar with one or more open-source deep learning frameworks (e.g., TensorFlow, PyTorch, Paddle, Spark ML). Understanding the underlying design of the framework, or familiar with the source code. Experiences in contributing open-source projects are preferred.
4. Strong enthusiasm for challenging tasks, strong problem-solving and analytical skills, and a strong sense of responsibility.

Preferred qualifications:
1. Experience in large-scale distributed machine learning, parallel training, distributed data processing frameworks like Hadoop/Spark.
2. Experience in developing open-source algorithm frameworks in areas such as CV, NLP, speech, or experience in deep learning model acceleration and engineering implementation.

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 gprd.accommodations@tiktok.com.