Embedded Machine Learning Engineer

DEKA Research and Development is seeking Embedded Machine Learning Engineers (Multiple Openings) to join our engineering team. Job Responsibilities: Research and create linear/nonlinear and optimal control algorithms, computer vision algorithms, and sensor fusion algorithms (10%) Write production level code in Python and C++ (20%) Implement detection algorithms on a robot using Robot operating system (10%) Develop low memory and power efficient libraries for inter-process communication (5%) Develop pipelines for machine learning training and deployment (15%) Develop machine learning algorithms for regression, detection and volumetric estimation (20%) Develop an optimized machine learning code for deployment on embedded devices and hardware accelerated devices (20%) Minimum Requirements: Master’s degree, in Computer Science, Robotics Engineering, or related engineering discipline, or foreign degree equivalent, plus 5 years of experience in any suitable occupation related to the development of robotics or control systems.

The experience (which may be gained concurrently) must also include the following: 5 years of experience with use of controls and computer vision algorithms in robotics and Robot Operating System; 5 years of experience with software skills in Python and C++; 5 years of experience developing and designing prototype devices for detection using sensor fusion techniques; 4 years of experience developing pipelines for machine learning training; 4 years of experience developing machine learning algorithms for regression, detection, segmentation and volumetric estimation; 3 years of experience architecting systems using software development skills; 3 years of experience developing optimized machine learning code for deployment on embedded and hardware accelerated devices; 2 years of experience developing low memory and power efficient C++ libraries for inter-process communication; and 1 year of experience with software development for medical devices.

**This position is eligible for Employee Referral Bonus**