Staff Applied Research Scientist

September 16, 2024

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $190k - $300k / year

⏰ Full Time

🔴 Lead

🧬 Research Scientist

🦅 H1B Visa Sponsor

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Descript

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Descript builds simple and powerful collaborative tools for new media creators. We strive to eliminate the tedious work that often stands between an idea and its expression, so that creators can focus on developing their craft instead of their usage of tools.

Computer Software • B2C • Prosumer Applications

51 - 200 employees

Founded 2017

💰 Corporate Round on 2022-10

📋 Description

• 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. • Using deep learning (including but not limited to NLP, speech processing, computer vision, etc.) to solve problems for media creation and editing. • Creating realistic voice doubles using only a few minutes of audio. • Creating tools to synthesize photo-realistic videos that match our Overdub (personalized speech synthesis) feature. • Designing and developing new algorithms for media synthesis, anomaly detection, speech recognition, speech enhancement, filler word detection, audio and video tagging etc. • Coming up with new research directions to improve our 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 • 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.

🏖️ Benefits

• Generous healthcare package • Catered lunches • Flexible vacation time