Senior Machine Learning Engineer - AIGC Model, TikTok Monetization GenAI

$177,688 - $266,000/Yr

Tiktok - Seattle, WA

Full-time - Senior

Seattle, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. As part of the Generative AI team under Monetization Technology, we focus on developing cutting-edge Generative AI technologies across various modalities, including text, image, video, and landing pages. Our goal is to create industry-leading technical solutions that enhance creative efficiency for advertisers, agencies, and creators. We are committed to automating creative workflows by leveraging Generative AI technologies to increase overall revenue for our clients and the entire ecosystem. In this role, you will be responsible for developing and implementing AI-driven applications that facilitate text-to-image and text-to-video transformations, catering to diverse content generation needs. You will design and enhance robust multi-GPU systems to ensure efficient training and deployment of large-scale generative models. Collaboration with cross-functional teams will be essential to improve the platforms supporting our AI models, with a focus on performance optimization and latency reduction in model training and deployment. Staying updated with the latest industry and academic developments in generative AI will be crucial to integrating state-of-the-art technologies and methodologies into our operations. We are looking for ML engineers who are eager to grow their business understanding, build highly scalable and reliable software/infrastructure, and partner across functions with global teams to make significant impacts. If you thrive on challenges and are passionate about driving innovation in the generative AI space, we would love to have you on our team!

Responsibilities

• Develop and implement AI-driven applications for text-to-image and text-to-video transformations to support diverse content generation needs.
• Design and enhance robust multi-GPU systems for the efficient training and deployment of large-scale generative models.
• 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.
• Stay updated with the latest industry and academic developments in generative AI to integrate state-of-the-art technologies and methodologies into our operations.

Requirements

• 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.
• Proficient experience in Linux, Docker, and Kubernetes environments.
• 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.

Nice-to-haves

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

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
• Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through our EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.