Design and deploy backend services for video and audio creation tools, focusing on scalable Python code, REST APIs, and cloud infrastructure.

The ML Engineer will manage the infrastructure for training ML models, optimize performance, and ensure scalability for large datasets in collaboration with research teams.

As a Senior Frontend Engineer, you'll design and deploy web applications for video and audio creation using modern frameworks and standards, while collaborating with top engineers and researchers.

Design, build, and maintain scalable data pipelines for machine learning; optimize performance of computing clusters; collaborate with research teams for model training.

Lead research in video generation distillation, optimizing diffusion models for efficiency without compromising quality, and collaborating on implementation with engineering teams.

The role involves designing long video generation architectures, developing methods for coherence, and integrating research into production. Strong skills in temporal modeling and generative AI are required.

Design and build an internal developer platform for AI products, focusing on deployment, scalability, and management tools for engineering teams.

Design, build, and deploy frontend and backend services for video and audio tools, working with emerging web standards and technologies. Collaborate closely with design and product teams to enhance user experience.