Deep Learning Engineer

Full Time


  • BA/BS degree in Computer Science, Computer Engineering, Electrical Engineering or related field, or equivalent practical experience.
  • Track record of developing AI systems to tackle challenging, open-ended questions.
  • Experience with TensorFlow/TF Lite (other leading libraries are acceptable).
  • Experience working with AI using limited processing power and with lightweight models.
  • Understanding of training and validation processes for supervised and unsupervised learning.
  • 3-5 years of experience on relevant projects.
  • Availability to contribute 40 hours a week.
  • Proficient in C++ and/or Python..
  • Experience with version control tools.
  • History of working with open source software packages.
  • Strong problem solving skills and ability to learn.
  • Ability to deliver quality work in a fast-paced startup environment.
  • Strong sense of ownership over projects.
  • Advanced level of English (reading, writing and speaking in a professional context).
  • Intuition for working with time dependent data.
  • Experience in adapting and/or pruning existing models.
  • Proficiency with Javascript.
  • Working knowledge of Nvidia systems; CUDA especially.
  • Experience with using Google Coral Edge TPU.
  • Experience with working with Point Clouds.
  • Experience with few-shot learning.
  • Experience with NLP algorithms; key-phrase detection and data-to-text especially.
  • Familiarity with Agile/Scrum methodologies.