As a Senior Full-Stack Engineer, you will design and deploy frontend and backend services for video and audio creation tools, working with frameworks like React and NextJS, and technologies such as Python and Kubernetes. You will collaborate with design and product teams, focusing on user experience and delivering impactful products.

As a Senior Frontend Engineer, you will be responsible for designing and developing frontend web applications for video and audio content creation and editing tools using modern frameworks and standards. You will collaborate with engineers to implement features utilizing technologies like Webcodecs, FFMPEG, and various web standards while ensuring high-quality code through unit tests and CI/CD practices.

The Research Scientist will develop and train generative AI models focused on creating controllable avatars for video, image, text, and audio. They will implement conditioning methods to enhance model performance and manage training processes across large GPU clusters using tools like Ray or PyTorch Distributed.

The Machine Learning Engineer at Hedra will build and manage services and infrastructure for their video models. Responsibilities include deploying latent diffusion models, scaling cloud infrastructure, developing pipelines, and architecting REST APIs. The role requires startup experience, strong communication skills, and the ability to work independently on disruptive technology.

The Lead Product Engineer will design, build, and deploy frontend and backend services for transformative video and audio creation tools. Responsibilities include working with emerging web standards, constructing APIs, writing scalable Python code, and collaborating with design to drive engineering initiatives.

As a Full-Stack Engineer at Hedra, you will design, build, and deploy frontend and backend services for video and audio tools, working with emerging web standards and technologies such as Python, Javascript, and various media formats. You will collaborate with engineers and researchers to build innovative solutions in a fast-paced start-up environment, focusing on scalable services and integrating with cutting-edge frameworks and infrastructure.

As a Frontend Engineer, you will develop a next-generation interface for a video generation platform, ensuring responsiveness and user satisfaction. You'll collaborate with engineers and researchers to create innovative technology, requiring strong experience in Typescript and React, especially with video editing functionalities.

The Applied Research Scientist will fine-tune pre-trained models for specific applications in video generation, develop adaptation strategies, evaluate model performance, and collaborate with the research team to align tasks with business objectives. They will communicate findings and ensure efficient model deployment within the startup.

The Senior Research Engineer will design and optimize machine learning models, focusing on video generation and data processing. Responsibilities include data preparation, conducting experiments, mentoring junior team members, and collaborating with the research team to apply findings. The role requires both research and engineering skills, with a strong emphasis on model development and practical applications.

The Research Engineer will assist in developing and implementing machine learning models, focusing on data processing and model testing. Responsibilities include preparing data for training, collaborating with the team, contributing to innovative projects, and staying updated with machine learning trends.

As a CUDA ML Engineer at Hedra, you will optimize machine learning models for GPU performance, specifically focusing on 3DVAE and video diffusion models. Responsibilities include developing algorithms for efficient GPU computation, collaborating with research and engineering teams, and staying updated on GPU technology advancements to enhance model efficiency.

The Machine Learning Engineer will design and implement high-performance computing solutions for training and deploying ML models. Responsibilities include managing cloud infrastructures, optimizing performance for large datasets, overseeing distributed training, and collaborating with teams on computational needs.