Record. Transcribe. Edit. Mix. As easy as typing. Take control with Descript. For support, visit https://descri.pt/help
Senior Software Engineer, AI Platform and Enablement
Location
United States
Posted
67 days ago
Salary
$180K - $286K / year
Job Description
Role Description
We're building a next-generation AI-powered platform and web application for creating audio and video content quickly and easily. This involves developing a revolutionary way to record, transcribe, edit, and mix audio and video on the web using state-of-the-art AI models—a challenge that requires solving complex technical problems. We're hiring a senior engineer to join our AI Platform and Enablement team. The ideal candidate thrives in a fast-moving, high-ownership environment and is comfortable navigating the ambiguity of bringing research work into an established product.
The team’s objective is to support integrating cutting-edge first-party models (developed by our in-house AI Research team) and third-party/open source AI models into the Descript product.
- Build, maintain, and standardize third-party model integrations, including consulting for other engineering teams with AI model integration needs
- Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion pipelines, training developer experience and infrastructure, evaluation frameworks, and deployments / GPU infrastructure
- Collaborate with Product Managers, Research Engineers, and AI Researchers to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient
- Optimize and scale our models and algorithms for efficient inference
- Deploy, monitor, and manage AI models in production
Qualifications
- Experience in deploying and managing AI models in production
- Experience with the tools of large volume data pipelines like spark, flume, dask, etc.
- Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes)
- Knowledge of DevOps and MLOps best practices
- Strong problem-solving abilities and excellent communication skills
Requirements
- Experience with generative AI models
- Familiarity with audio and video processing
- 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
Benefits
- A generous healthcare package
- 401k matching program
- Catered lunches
- Flexible vacation time
Company Description
Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).
Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company.
Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a handful of opportunities throughout the year for in-person collaboration. For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.
Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.
Job Requirements
- Experience in deploying and managing AI models in production
- Experience with the tools of large volume data pipelines like spark, flume, dask, etc.
- Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes)
- Knowledge of DevOps and MLOps best practices
- Strong problem-solving abilities and excellent communication skills
- Experience with generative AI models
- Familiarity with audio and video processing
- 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
Benefits
- A generous healthcare package
- 401k matching program
- Catered lunches
- Flexible vacation time
Related Guides
Related Job Pages
More AI Engineer Jobs
Senior Applied AI Engineer focusing on AI-powered systems for healthcare industry
Lead Engineer for new AI products at ReSource Pro's AI Factory
We’re looking for a Forward Deployed AI Architect to lead our most mission-critical client engagements. This is not a lab role - you’ll be embedded with enterprise clients, building and deploying AI solutions where the problems are messy, the stakes are high, and the environm...
Sales Executive – NetSuite Managed Services, AI Platform Products
Cumula 3 GroupAdvise, Implement, Optimize
Sales Executive at Cumula 3 Group introducing AI and NetSuite to clients