Algorithm Engineer - Global E-commerce, Generative AI - San Jose

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, Mumbai, 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.

About the team
Welcome to the content understanding and generation team of e-commerce algorithms, where we spearhead multi-modality models on visual understanding and visual generation. Our team is dedicated to enhancing clients' shopping experience by developing AIGC algorithms in the field of e-commerce, such as e-commerce content understanding and trendings, product creativity generation, generation and optimization of product materials, virtual try-on, e-commerce video generation and editing. We aim to provide the complete AI solution for the e-commerce industry, and use technology to subvert the entire industry chain.

Responsibilities
- Responsible for exploring cutting-edge technologies such as computer vision, AIGC (Artificial Intelligence Generated Content), and multimodal machine learning in the field of content commerce.
- Responsible for applying technologies such as AIGC in the field of content commerce, empowering various aspects of e-commerce such as product creativity generation, generation and optimization of product materials, virtual try-on, e-commerce video generation and editing.
- Responsible for optimizing and iterating CV (Computer Vision)/multimodal/AIGC-related models, including image/video understanding, image/video generation/editing, and other advanced technologies.Minimum Qualifications
- Master's or Ph.D. Degree in Computer Science, Machine Learning, or a related field with excellent programming skills and proficiency in C/C++/Python.
- Familiar with model training frameworks such as TensorFlow/PyTorch, understanding of mixed precision training, distributed training, TensorRT deployment, etc.
- In-depth research in a specific area of computer vision/multimodality,including but not limited to
- multimodal generation, such as text-to-image/video/3D generation and editing, and other related multimodal experiences
- image generation, video generation, 3D generation;
- diffusion model, GAN, transformer for generation tasks.
- large-scale training, RLHF, and generative AI.
Preferred Qualifications
- Strong practical skills, priority given to those who have published papers in related competitions and top academic conferences.
- Experience in e-commerce or multimodal/AIGC, including image and video understanding, generation, etc.
- Good learning ability, excellent communication skills, strong responsibility, proactive and enthusiastic attitude.

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 https://shorturl.at/cdpT2