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# Embedded Machine Learning Engineers

- **Company:** After School Matters, Inc.
- **Location:** Manchester, NH, United States
- **Contract:** Permanent contract
- **Skills:** Computer Vision, C++ (Programming Language), Inter-Process Communication, Python (Programming Language), Machine Learning, Software Tools, Sensor Fusion, Software Engineering, Robot Operating System, Information Technology
- **Published:** October 13, 2026
- **Apply:** https://deka.applytojob.com/apply/KD2fjTFJBj/Embedded-Machine-Learning-Engineer?source=GS

## About the Role

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., + 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.

## Description

* 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%)