Posted 12 days ago
Embedded Machine Learning EngineerDEKA Research & Development · Manchester
Embedded Machine Learning Engineer
ManchesterOn-siteFull-time
AI Summary
Builds control, computer vision and sensor fusion algorithms and machine learning models, then deploys optimized ML code on embedded and hardware accelerated devices for robotics and medical systems. Works in Python, C++ and the Robot Operating System.
About this role
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%)
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.
Skills
C++Computer VisionControl AlgorithmsEmbedded SystemsHardware AccelerationInter-process CommunicationLinear ControlMachine LearningMedical Device SoftwareML Training PipelinesNonlinear ControlObject DetectionOptimal ControlPythonRegressionRobot Operating SystemSensor FusionVolumetric Estimation
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