# Senior Software Engineer, AI Platform and Enablement

**Company**: Descript
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $180,000 - $286,000/year
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/descript/jobs/7580335003
**Canonical**: https://yubhub.co/jobs/job_2a2d718a-f65

## Description

## 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.

## Responsibilities

- 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

- Optimise 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.

## Benefits

- Generous healthcare package

- 401k matching program

- Catered lunches

- Flexible vacation time

## Fun fact about me: I love pineapple on pizza.

## Skills

### Required
- 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