Software Development

Rubiks Code DOO Beograd

1-10

Serbia

Rubix is looking for a hands-on engineer to analyze raw EMG signals in Python, implement optimized algorithms in C++, and integrate them into an iOS application. You will be working closely with the iOS and WEB teams to ensure end-to-end data collection, processing, pattern detection, and visualization.  

Employment type: Part-time - 20 hours per week

## Tasks

*   Research and prototype development for biomedical signal processing
*   Analysis of EMG data in Python: filtering, segmentation, feature extraction, and prototyping of ML models. 
*   Translating Python prototypes into efficient C++ code. 
*   Integration of modules into an iOS application, including collaboration on software architecture and CI/CD processes. 
*   Implementation or adaptation of ML frameworks for execution on embedded devices. 
*   Performance benchmarking: inference speed, memory usage, and power consumption, with iterative improvements.

## Requirements

*   Proven experience in processing electromyographic (EMG) signals and artifact recognition 
*   Experience with prototyping in Python (NumPy, SciPy, pandas, scikit-learn, PyTorch, TensorFlow) 
*   At least 3 years of professional experience with modern C++ (C++11/14/17) 
*   Experience in packaging and optimizing ML models for on-device inference 
*   Familiarity with Xcode and interoperability of C++ modules with Objective-C/Swift code in iOS applications 
*   Strong ability to collaborate effectively in an agile, multidisciplinary environment

## Benefits

*   Work on cutting-edge R&D projects combining bio-signals, machine learning, and mobile platforms 
*   Flexible working hours and remote work opportunities 
*   Flat organizational structure and collaborative culture 
*   Professional development (conferences, courses, certifications)

Employee

Professional / Experienced

<p>Rubix is looking for a hands-on engineer to analyze raw EMG signals in Python, implement optimized algorithms in C++, and integrate them into an iOS application. You will be working closely with the iOS and WEB teams to ensure end-to-end data collection, processing, pattern detection, and visualization.  </p>
<p>Employment type: Part-time - 20 hours per week</p>
<h2 id="tasks">Tasks</h2>
<ul>
<li>Research and prototype development for biomedical signal processing</li>
<li>Analysis of EMG data in Python: filtering, segmentation, feature extraction, and prototyping of ML models. </li>
<li>Translating Python prototypes into efficient C++ code. </li>
<li>Integration of modules into an iOS application, including collaboration on software architecture and CI/CD processes. </li>
<li>Implementation or adaptation of ML frameworks for execution on embedded devices. </li>
<li>Performance benchmarking: inference speed, memory usage, and power consumption, with iterative improvements.</li>
</ul>
<h2 id="requirements">Requirements</h2>
<ul>
<li>Proven experience in processing electromyographic (EMG) signals and artifact recognition </li>
<li>Experience with prototyping in Python (NumPy, SciPy, pandas, scikit-learn, PyTorch, TensorFlow) </li>
<li>At least 3 years of professional experience with modern C++ (C++11/14/17) </li>
<li>Experience in packaging and optimizing ML models for on-device inference </li>
<li>Familiarity with Xcode and interoperability of C++ modules with Objective-C/Swift code in iOS applications </li>
<li>Strong ability to collaborate effectively in an agile, multidisciplinary environment</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>Work on cutting-edge R&amp;D projects combining bio-signals, machine learning, and mobile platforms </li>
<li>Flexible working hours and remote work opportunities </li>
<li>Flat organizational structure and collaborative culture </li>
<li>Professional development (conferences, courses, certifications)</li>
</ul>


Machine Learning Engineer for Embedded systems

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