\nOur vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems. 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. \n \nThis pivotal role involves deploying and optimizing our cutting-edge AI models for audio and video content creation. 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.\nWhat You’ll Do\n\n\n* Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion, training, evaluation, and deployment.\n\n* Collaborate with Machine Learning Engineers and Data Scientists to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient.\n\n* Work on optimizing and scaling of our models and algorithms for efficient inference.\n\n* Deploy, monitor, and manage AI models in production.\n\n* Implement rigorous security protocols to protect sensitive data and prevent abuse.\n\n* Collaborate with cross-functional teams to drive product requirements and improve our AI platform.\n\n* Stay up-to-date with the latest industry trends and technologies, and be ready to present potential use cases to the team.\n\n\n\nWhat You Bring\n\n\n* Experience in deploying and managing AI models in production.\n\n* Knowledge of Python, C/C++, CUDA, and experience profiling GPU performance and distributed training runs.\n\n* Experience with machine learning frameworks like PyTorch, TensorFlow or similar.\n\n* Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes).\n\n* Strong problem-solving abilities and excellent communication skills.\n\n\n\nNice to Have:\n\n\n* Experience with generative AI models.\n\n* Familiarity with audio and video processing.\n\n* Knowledge of DevOps best practices.\n\n\n\n\nAt our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer. While titles may not change, we are actively seeking senior and above Software Engineers to join our team.\n\nThe base salary range for this role is $160,000- $215,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Video, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco Bay Area, California, United States