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Research Engineer
Confirmed live in the last 24 hours
Montreal, QC, Canada • San Francisco, CA, USA • Remote
Experience Level
Desired Skills
Computer Vision
Data Structures & Algorithms
Natural Language Processing (NLP)
  • Proven experience in implementing and iterating on deep learning algorithms
  • BSc/BEng degree in computer science, mathematics, physics, electrical engineering, machine learning or equivalent (MSc or PhD preferable)
  • Good programming skills and experience with deep learning frameworks (preferably Pytorch)
  • Strong knowledge and experience of Python
  • Experience with deep learning in a requirement. Domain specific knowledge in NLP, speech processing, Computer Vision, etc. is not a requirement
  • Great debugging skills for training novel deep learning models e.g. resolving nan issues when training neural networks, and finding it exciting to figure out the reasons
  • Curiosity towards research papers: how might it work out of the box?
  • Excitement to partner with people to solve novel problems with deep learning
  • You have implemented a research paper from scratch e.g. writing data loaders, implementing neural network architecture, and trained the model on some datasets
  • You have taken an existing deep learning work, modified it in a novel way and trained the model on a different dataset
  • Read, understand, and replicate recent AI research papers
  • Work closely with research scientist to go 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

51-200 employees

Audio & video transcription editing platform
Company Overview
Descript's mission is to make video a staple of every communicator’s toolkit, alongside docs and slides. The company's video editor has AI-powered features and intuitive interface fuel YouTube and TikTok channels, top podcasts, and businesses using video for marketing, sales, and internal training and collaboration.
  • Healthcare package
  • Catered lunches
  • Unlimited vacation time
  • Remote work option