We are looking for a highly motivated Computer Vision Engineer to be part of creating the future of the marine industry in the field of autonomous ships.
We apply cutting-edge research to train deep neural networks on problems ranging from perception to collision avoidance. Our networks analyze RGB
and Thermal camera feeds to perform object detection, monocular depth estimation, tracking, sensor fusion, and collision prediction.
Our 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 multi-object tracking, motion estimation, and forecasting.
Improve DL development cycles, evaluation infrastructure, pipelines, and automation.
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.
Requirements: 2+ years of industry experience in the development and deployment of Computer Vision Algorithms.
Strong Python programming and good understanding.
Working experience with PyTorch, EC2, GIT, Linux
Comfortable in unexplored territory, independent, and self-motivated.
Excellent team player with strong communication skills in verbal and written English
Advantages:
Marine background
Broad understanding of data science and machine learning
Strong Computer Vision background (camera model, projective geometry, camera registration)
Experience with Edge Computing on Nvidia Jetson.
This position is open to all candidates.