JobCubby JobCubby
Sign up
DEKA Research & Development

Embedded Machine Learning Engineer

DEKA Research & Development Manchester, New Hampshire, United States

Biotechnology Research · 501-1,000 employees

Yesterday
machine-learning Senior (5-10 yrs) Full-time United States
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.

About the role

The role involves developing machine learning algorithms for regression, detection, and volumetric estimation, as well as creating optimized code for embedded and hardware-accelerated devices. You will also implement detection algorithms using the Robot Operating System and develop efficient libraries for inter-process communication.

What they look for

Python C++ Machine Learning Robotics Computer Vision Sensor Fusion Robot Operating System Control Systems Regression Detection Volumetric Estimation Embedded Systems Hardware Acceleration Inter-process Communication Medical Devices

Requirements

Candidates must hold a Master's degree in Computer Science, Robotics Engineering, or a related field, along with at least 5 years of relevant experience. The position requires extensive expertise in Python, C++, robotics control systems, and machine learning pipeline development.

Full description

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.

Similar roles