We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of new products from concept to production. In this role, you will be a part of a highly talented team to drive UVeyes inspection portfolio, while creating diverse Machine and Deep Learning algorithmic solutions.

A day in the life and how youll make an impact:
* Design and Development of novel robust and efficient Machine Learning / Deep Learning algorithms for major Vision challenges.
* Create Proof of concept for new products and technology.
* Evaluate and benchmark different algorithms on unique proprietary datasets.
* Collaborate with team members to define future technology and features.

We are looking for a Deep Learning Engineer to join a small, fast-moving, Deep Learning research team. You will be working closely with our researchers, developing tools and optimizing models in both offline and online environments.
In this Role you will :
Optimize models and pipelines for both Training and Inference speed on various hardware
Develop frameworks for managing large-scale fault-tolerant training runs
Manage training and deployment to production
Develop research infrastructure for experiment management
Build highly efficient data pipelines
Collaborate with researchers on algorithm design and implementation.

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.

We are looking for an experienced and talented Computer Vision Researcher to take part in building our AI products.

The candidate should demonstrate a deep understanding of Computer Vision and Deep Learning. As a Computer Vision Researcher, youll take part in Track160 innovation efforts to become the market leader in sports tracking and analytics solutions.

The data science and deep learning group is responsible for providing advanced, robust and at scale ML/DL solution to the challenging and ever evolving cyber threat landscape.
As part of the groups algorithm team, you will have the chance to push the boundaries of our malware prediction models and help establish our foothold in DSPM using state-of-the-art NLP techniques. We are looking for a senior applied researcher who has substantial experience in leading data science efforts from specification, design to model deployment. Solid experience in ML/DL and someone who is excited about complex and exciting problems.
In this role you will take a central part in researching and implementing new ideas as a part of an exceptionally talented group of researchers and engineers.
RESPONSIBILITIES:
Gain understanding of the unique challenges presented by the cyber-security domain
Work with cyber-security specialists, product and security researchers to understand the specificities of the data and fit solutions to it
Expand our algorithmic capabilities in malware detection as well as conduct research and implementation of ML/DL based solutions for data security
Own complete feature cycle - from research through solution design to implementation
Participate in code reviews and contribute to the development of best practices within the research team