Design, build, and deploy frontend/backend services for video/audio tools. Collaborate on engineering initiatives with a focus on user experience and product impact.

As a Senior Frontend Engineer, you'll design and deploy web apps for video creation tools using modern frameworks and technologies, while collaborating with engineers and researchers.

Conduct advanced research to innovate in video generation and AI agents using generative models, focusing on 3D Variational Auto-encoders and video diffusion models, while collaborating to integrate findings into applications.

As a Machine Learning Engineer, you will build and manage services for our models, maintaining infrastructure, and deploying machine learning solutions while working closely with a team of engineers and researchers.

The Lead Product Engineer designs, builds, and deploys frontend and backend services for video and audio creation tools, ensuring top-notch user experience while integrating with various technologies and frameworks.

As a Full-Stack Engineer, you'll build and deploy frontend and backend services for transformative products, utilizing modern web standards and various frameworks.

As a frontend engineer, you will develop an interface for generative video generation, enhancing user interaction and responsiveness, working closely with engineers and researchers.

The Applied Research Scientist will fine-tune generative models for specific applications, focusing on model adaptation using techniques like transfer learning and data augmentation.

Develop, optimize, and deploy machine learning models for video generation; mentor junior members and collaborate on research applications.

The role involves implementing and testing machine learning models, handling video datasets, and collaborating to develop new features. Ideal for early-career professionals eager to learn.

The Machine Learning Engineer will optimize GPU performance for 3DVAE and video diffusion models using CUDA, collaborating with teams on model requirements and bottlenecks.

The Machine Learning Engineer will design scalable computing solutions, optimize cloud infrastructure for training ML models, and support deployment using tools like Kubeflow.