What are the responsibilities and job description for the Embedded Machine Learning Engineer position at DEKA Research & Development?
DEKA Research and Development is seeking Embedded Machine Learning Engineers (Multiple Openings) to join our engineering team.
Job Responsibilities:
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:
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%)
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.