Descript-posted 4 months ago
$190,000 - $300,000/Yr
Full-time • Entry Level
San Francisco, CA
101-250 employees

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 need great people to help us build these cutting-edge technologies and guide its development. In particular, we’re always looking to hire smart applied research scientists. You will join a team of around a dozen researchers specialized in generative models and deep learning.

  • Oversee research process implementation, from problem definition all the way to running and analyzing concrete research experiments.
  • Collaborate and communicate clearly and efficiently with the rest of the team about the status, results, and challenges of your current tasks.
  • Contribute to designing the research roadmap of the company.
  • Train and mentor other members of the team.
  • Own the research function of specific product features.
  • 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.
  • We do not require domain-specific knowledge in computer vision or speech-processing.
  • Lead author of an accepted publication in one of the top conferences: ICLR, ICML, NeurIPS, ICASSP, ICCV, CVPR, InterSpeech, etc.
  • Played a key role in shipping a feature in production which uses deep learning as a key component.
  • Generous healthcare package
  • Catered lunches
  • Flexible vacation time
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