Senior Software Engineer, AI Platform and Enablement

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.

In this role, you will:

• Build, maintain, and standardize third party model integrations, including consulting for other engineering generatingteams 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.

• Minimum Qualifications
  • Experience in deploying and managing AI models in production.
  • Experience with large volume data pipeline tools 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.

Studies show that women and people of colour are less likely to apply to jobs unless they meet every single qualification. If you're excited about this role but your past experience doesn't align perfectly with every qualification above, please apply anyway.

The base salary range for these roles is $180,000 - $286,000 per year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.

Benefits include a generous healthcare package, 401(k) matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote and hybrid roles: remote candidates can collaborate in person during occasional in person sessions, while hybrid roles are flexible-there is no daily office requirement, but we value the serendipity of face to face collaboration.

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 actively build a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.