Senior Software Engineer, AI Platform and Enablement

About the Role

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.

About the Team

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 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

What you bring:

• 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

Studies show that women and people of color 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 anyways.

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

When applying, please put the word "analog" as the first word in your cover letter.

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