We're a Y Combinator (S17) backed deep learning company, building customizable speech-to-text solutions for companies working with voice data.<p>Using state of the art deep learning techniques, we train custom models for customers that are a perfect fit for their data, and more accurate than any other generic API/solution.<p>We're looking for another deep learning engineer to join our team and work on things like:<p>- research and implement new papers to improve our model's accuracy, training speed, and compute footprint<p>- research and implement novel techniques using GANs to aid in data augmentation and data normalization<p>- optimize multi-GPU training clusters<p>- help plan our deep learning strategy<p>We're really early (almost 2 years old), so depending on what you're looking for, this could be a great opportunity to help build a company from scratch with a lot of equity, while also being able to work on cutting-edge deep learning problems every day.<p>We don't care if you don't have a traditional Computer Science or Machine Learning background, self-taught engineers are more than welcome! What's more important is that you have a few projects/code to show us.<p>Our office is in San Francisco, but we are ok with remote team members.<p>If you're interested in learning more about this role, please email us at jobs@assemblyai.com and reference "Hacker News Posting" in the email subject.<p>Thank you!