Descript

Staff Applied Research Scientist

Descript

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $190,000 - $300,000 per year

Job Level

Lead

Tech Stack

PyTorchSparkTensorflow

About the role

  • Build next-generation platform for fast and easy creation of audio and video content at Descript.
  • Join a team of researchers specialized in generative models and deep learning.
  • Oversee research process implementation, from problem definition to running and analyzing experiments.
  • Collaborate and communicate status, results, and challenges with the team.
  • Contribute to designing the research roadmap of the company.
  • Train and mentor other team members.
  • Own the research function of specific product features.
  • Use deep learning (NLP, speech, vision, etc.) for media creation and editing.
  • Create realistic voice doubles using only a few minutes of audio.
  • Create tools to synthesize photo-realistic videos that match Overdub.
  • Design and develop algorithms for media synthesis, anomaly detection, speech recognition, enhancement, filler word detection, audio/video tagging.
  • Propose new research directions to improve product.

Requirements

  • Proven experience in designing and implementing deep learning algorithms.
  • PhD or Master’s degree specialized in Deep Learning or equivalent experience.
  • Track record of developing new ideas in machine learning, as demonstrated by one or more first author publications or projects.
  • Good programming skills and experience with deep learning frameworks.
  • Ability to generate more ideas than you can implement.
  • Implementing a given idea is easy and efficient. Once the experiment set up is established, you’re able to implement many ideas per day, evaluate them, and organize your time to be productive and efficient.
  • You wish you had more GPUs to run all the experiments that you wanted!
  • You know Pytorch/Tensorflow inside-out
  • Lead author of an accepted publication in one of the top conferences: ICLR, ICML, NeurIPS, ICASSP, ICCV, CVPR, InterSpeech, etc. OR Played a key role in shipping a feature in production which uses deep learning as a key component.