Tech Lead Machine Learning Engineer - AIGC Model, TikTok Monetization GenAI

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.

We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by leveraging Generative AI technologies, to increase overall revenue for advertisers, agencies and creators.

We aim to drive and lead the generative AI in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for ML engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!

Responsibilities
1. Develop and implement AI-driven applications for text-to-image and text-to-video transformations to support diverse content generation needs.
2. Design and enhance robust multi-GPU systems for the efficient training and deployment of large-scale generative models.
3. Work closely with cross-functional teams to improve the platforms that support our AI models, focusing on performance optimization and reduction of latency in model training and deployment.
4. Stay updated with the latest industry and academic developments in generative AI to integrate state-of-the-art technologies and methodologies into our operations.Minimum Qualifications:
1. M.S./Ph.D. in Computer Science, Computer Engineering, or related fields.
Deep expertise in Python and deep learning frameworks such as PyTorch, with a strong grasp of large-scale model training technologies like FSDP/DeepSpeed and Asyncio.
2. Proficient experience in Linux, Docker, and Kubernetes environments.
3. Proven experience in generative models, especially in text-to-image (e.g., Diffusion-Based Models, Diffusion Transformers) and text-to-video (e.g., EMU series, MagViT) technologies.

Preferred Qualifications:
1. Advanced knowledge of CUDA optimization and multi-GPU system architectures.
2. Significant experience in cloud computing and distributed systems, particularly in environments like GCP/Azure.
3. Outstanding problem-solving abilities and a strong commitment to continuous learning in AI/ML fields.
4. Excellent communication, teamwork, and project management skills.

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