Deep Learning Engineer
Type of Job
22 april 2021
About the job
Morla Moves BV is rapidly growing and we are looking for a full-time Deep Learning Engineer to enrich our team.
We are looking for people whose portfolio strongly matches the Requirements that we put forth, and prefer those who can demonstrate matching some of our Preferences. The primary thing we are looking for is a positive, problem-solving attitude and a person that will fit into our team.
What you will be working on is an “AI based movement solution”.
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.
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.
As Morla Moves, we know the importance of physical activity for the quality of life. With this passion in our hearts we developed an at home fitness IoT device that will make physical activity easier, effective and safe for users.