Machine Learning Engineer, Hedra

• The ideal candidate will have experience with cloud computing platforms and tools for managing ML workloads at scale, supporting our 3DVAE and video diffusion models
• Bachelor’s degree in Computer Science, Information Technology, or a related field, with a focus on system administration
• Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads
• Knowledge of containerization tools like Dockerfile and orchestration tools like Kubeflow, crucial for deploying models at scale
• Understanding of distributed training techniques and how to scale models across multiple GPUs or machines, aligning with video generation needs
• Proficiency in scripting languages like Python or Bash for automation tasks, facilitating infrastructure management
• Strong problem-solving and communication skills, given the need to collaborate with diverse teams

• We are looking for an ML Engineer with expertise in high-performance computing systems to manage and optimize our computational infrastructure for training and deploying our machine learning models.
• Design and implement scalable computing solutions for training and deploying ML models, ensuring infrastructure can handle large video datasets
• Manage and optimize the performance of our computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed training
• Ensure that our infrastructure can handle the resource-intensive tasks associated with training large generative models
• Monitor system performance and implement improvements to maximize efficiency, using tools like Kubeflow for orchestration
• Collaborate with the team to understand their computational needs and provide appropriate solutions, facilitating seamless model deployment
• This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability

• Equity
• 401k (no match)
• Healthcare (Silver PPO Medical, Vision, Dental)
• Gym access (at our office)

Total funding: $42m

The relationship between machine learning and online content has grown closer in recent years, and Hedra is a video content platform that is pushing this symbiosis into new territory. Describing itself as a video foundation mode company, Hedra is building an online creation studio that helps users generate dialogue, audio and video from words.