Head of Applied AI

Our vision is to build the next-generation platform for fast and easy creation of audio and video content. In November 2022, we took a huge leap forward by launching Storyboard, the video editing foundation that we’re excited to build atop AI capabilities like Overdub, Studio Sound, and other generative AI capabilities in the near future. We're used by some of the world's top podcasters and influencers as well as businesses such as BBC, ESPN, Hubspot, Shopify and Washington Post for communicating via video. We've raised $100M from some of the world's best investors like Andreessen Horowitz, OpenAI Startup fund, Redpoint Ventures and Spark Capital.

We’re looking for a strategic thinker who has a strong product and technical acumen to lead our Applied AI Research team and shape the product and business in the coming years via the cutting edge advancements in AI. You’ll be managing a talented team of AI Researchers specialized in generative models and deep learning and will report directly to the VP of Engineering.

Some of our research publications:

• SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
• Char2Wav: End-to-end Speech Synthesis.
• ObamaNet: Photo-realistic lip-sync from text.
• MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
• Chunked Autoregressive GAN for Conditional Waveform Synthesis
• Wav2CLIP: Learning Robust Audio Representations From CLIP

Job Responsibilities

The Head of Applied AI will be responsible for managing and leading our Applied AI Research team in developing and implementing cutting-edge AI technologies for the Descript product. The responsibilities include:

• Leading research projects and ensuring their timely completion
• Collaborating with other teams to integrate AI technologies into real-world products
• Mentoring and managing a team of research scientists and engineers
• Developing and implementing research strategies
• Staying up-to-date with the latest developments in AI technology and incorporating them into our research
• Representing the company in conferences and events

Qualifications

The ideal candidate will have:

• PhD or Master’s degree specialized in Deep Learning or equivalent experience.
• 3+ years in managing AI teams and 5+ years of experience with building deep learning models
• A track record of leading and shipping research projects in production
• Experience in managing and mentoring research scientists
• Strong knowledge of deep learning (and ideally generative models)
• Excellent communication and interpersonal skills

Last updated on Oct 3, 2023