Machine Learning Research Engineer

Description

As a Machine Learning Research Engineer, your responsibilities will include Designing experiments to advance our machine learning understanding and techniques
Running experiments to improve the core algorithms of Qeexo products on consumer devices
Modeling performance of Qeexo products on new hardware, sensor, and interaction platforms
Developing new algorithms to improve our engine calibration process
Developing algorithms for new Qeexo solutions
Ideal Candidate
A proven track record of academic and/or industry experience in fields related to machine learning and signal processing, particularly in acoustic analysis
Deep knowledge of statistical and machine learning approaches and problem domains
Computer Science/EE/ECE background (MS or PhD preferred) with strong coding ability and familiarity with Java, C++ or other OOP language. (You may not be doing productionlevel coding but you will need to build prototypes/tools for experiments and analysis.)
Proven success with multiple ML/AI/classification projects (research papers, kaggle, open source implementations, etc.)
Expertise in one or more specific areas of research neural nets, deep learning, signal processing, digital imaging, ensemble learning and system identification
Researchminded, ability to run experiments independently and present results to leadership
Comfortable working in a terminal environment, writing scripts (Bash/Python) to process data and implement algorithms
Experience in mobile or other consumer electronic devices
Skills & Requirements Machine Learning (expert)
Python (proficient)
Deep Learning (proficient)
Ensemble Modeling/Classification (proficient)
Signal Processing (familiar)
Java (familiar)
C (familiar)
Data Structures and Algorithms (familiar)
Some travel may be required