Lead Machine Learning Algorithm Eng...

Candidate should be able to:

Lead all data collection activities at regulators and internal sites.


Communicate with regulators as needed and assist them to deploy as well as support detection algorithms.


Build reusable and reliable C++ code as well as refactor and improve legacy code
Develop new algorithms as well as improvements to previously developed algorithms.


Organize complex software development projects into manageable tasks and provide a level of effort development estimates, lead tasks as well as algorithm team members.


Interfacing with other software teams to understand, integrate, and deploy algorithm components with external software components.


Communicate with both external and internal customers, including cross-group functional team members and senior management to execute company goals and objectives.


Implement other team member's ideas as well as work independently.


Design, develop, implement, and test certified image processing algorithms, as well as analyze and organize data, and write technical reports.


Candidate should have:

Strong knowledge of Microsoft Office tools (Excel, Access, Word, PowerPoint).


Knowledge of C / C++ programming languages
Organized in storing and communicating technical results and reports in an easy and traceable way to retrieve data from its source.


Flexibility in adapting to the requirements of the algorithm development process.


Experience with image pre-processing, segmentation, feature detection, feature analysis, discrimination, and machine learning.


Self-driven, able to identify problems, discuss and collaborate on possible solutions, and focus on completing all necessary tasks.


Excellent technical writing and verbal communication skills at all levels.


Strong math and analytical skills.


Strong understanding of statistical pattern recognition and classification.


Solid web-based programming skills and relational databases programming.


Knowledge of Six Sigma or other continuous improvement processes.


Knowledge of Matlab, Python, or similar, Linux / Unix operating systems and scripting
Experience in GPU programming.


Basic knowledge of X-ray systems and technologies.


BS in Computer or a similar discipline and a minimum of 7+ years of relevant experience in image processing, computer vision, and machine learning.