• The ideal candidate for this role has extensive experience building infrastructure to efficiently train and deploy state of the art models, improving performance of model training and inference, strong low-level understanding of GPU workloads, and thrives in a fast moving, high-ownership environment
• Experience in deploying and managing AI models in production
• Knowledge of Python, C/C++, CUDA, and experience profiling GPU performance and distributed training runs
• Experience with machine learning frameworks like PyTorch, TensorFlow or similar
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes)
• Strong problem-solving abilities and excellent communication skills

Desirable

• As Descript continues to grow, with generative AI at the heart of our mission to empower our users, we are actively seeking a Senior AI Platform Engineer
• This pivotal role involves deploying and optimizing our cutting-edge AI models for audio and video content creation
• Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion, training, evaluation, and deployment
• Collaborate with Machine Learning Engineers and Data Scientists to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient
• Work on optimizing and scaling of our models and algorithms for efficient inference
• Deploy, monitor, and manage AI models in production
• Implement rigorous security protocols to protect sensitive data and prevent abuse
• Collaborate with cross-functional teams to drive product requirements and improve our AI platform
• Stay up-to-date with the latest industry trends and technologies, and be ready to present potential use cases to the team