Description

Orca AI is looking for a highly motivated Software Engineer who is interested to join a Computer Vision team and be part of creating the future of the marine

industry in the field of autonomous ships.

Orca AI applies cutting-edge research to train deep neural networks on problems ranging from perception to collision avoidance. Our per-camera networks

analyze raw images to perform object detection, monocular depth estimation, tracking, and collision prediction.

Orca AI system operates on a fleet of ships sailing all over the world, advancing the maritime industry by providing intelligent navigation solutions,

preventing collisions, and saving lives. We ensure safety in congested waterways and deep waters by staying committed in our vision to reduce human-

caused errors through intelligent automated vessels.

Our technology helps Captains and Officers on the bridge get an accurate view of the environment in real time and make life-altering decisions. Empowered

by AI, as well as the combination of new tools and current infrastructure, our approach is an innovative path yet to be taken in marine transportation.

If you're looking to impact the future of the maritime industry, to be part of an awesome team, and to have a great time, this is the job for you!

What will you do?

●   Develop computer vision algorithms for object detection, tracking, depth estimation, and

perception.

●   Build and train deep learning models to enable complex scene perception for real-time analysis.

●   Collaborate with team members to define future technology and features.

●   Improvement of Deep Learning development cycles

Requirements

●   3+ year-experienced Software Engineer

●   Strong Python programming and good understanding.

●   Comfortable in unexplored territory, independent, and self-motivated.

●   Excellent team player with strong communication skills in verbal and written English

Desired:

●   Understanding of data science, machine learning and/or computer vision

●   Experience with any of the following: Graph Neural Networks, Autoencoders, Attention