Hedra
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The Full-Stack Engineer will design, build, and deploy frontend and backend services for video and audio tools, using technologies such as Typescript, React, Python, and AWS services. Responsibilities include creating scalable applications, implementing APIs, and utilizing emerging web standards while collaborating with engineers and researchers.
As a Lead Product Engineer, you will design, build, and deploy frontend and backend services for video and audio creation tools. You will utilize emerging web standards and frameworks to develop innovative products while collaborating closely with design and product teams.
As the Lead Product Designer at Hedra, you will own the design process for video creation tools, collaborating with engineers and researchers to develop cutting-edge features. This role requires creating intuitive user experiences that align with the company's vision, and you will also evolve the design system as the company scales. You'll work closely with founders and contribute to the product strategy.
As a Senior Full-Stack Engineer, you'll design, build, and deploy both frontend and backend services for video and audio creation tools. Collaborating with teams, you'll utilize frameworks like NextJS and React, and work with various technologies to implement scalable solutions and ensure an outstanding user experience.
The Frontend Engineer will develop a next-generation interface for generative video generation, enhancing user responsiveness and productivity. Responsibilities include collaborating with engineers and researchers to build innovative technology while ensuring clean and efficient code practices.
As a Senior Frontend Engineer at Hedra, you will design and develop frontend web apps for creative video and audio tools. Your role includes utilizing web standards and various technologies, working collaboratively with engineers and researchers, and ensuring high-quality code through testing and deployment practices.
As a Machine Learning Engineer at Hedra, you will design and manage the services and infrastructure for video generation models. Your role includes deploying models, building cloud infrastructure, managing backend services, and working in a fast-paced startup environment.
The Research Scientist will develop and train generative AI models for video, image, text, and audio content, focusing on enhancing model controllability and implementing distributed training techniques across multiple GPUs using frameworks like PyTorch or Jax.