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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.
Job Responsibility:
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
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
You know Pytorch/Tensorflow inside-out
At least one of the following must be true for the applicant to be considered: 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
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