Audio R&D Scientist

About EERS 

EERS develops enabling hardware and software for noise management, hearing protection, audio clarity and voice intelligibility through devices that are comfortable and secure. We are expert in real-time signal processing that builds applications for augmented hearing in industrial, medical, and consumer use cases. 

Our bio-mechanical skills allow us to map and address the complexity of the human ear canal to build novel comfortable, usable, and manufacturable earpieces that are acoustically efficient. 

The EERS team is made up experts in audiology, acoustics, embedded software, hardware design, bio-mechanical, industrial design, and prototype assemblers capable of working on the smallest of form factors. 

Our head office is located in the heart of downtown Montréal. We offer competitive salaries as well as a great team environment with a hybrid WFH model. EERS Global is an equal-opportunity employer committed to diversity. 

Job Description 

Reporting to the Principal Audio R&D Scientist, the Audio R&D Scientist is responsible for developing audio signal processing algorithms and applications for in-ear technologies. 

The position involves addressing specific challenges related to audio signal processing and optimization/machine learning that require in-depth experimentation and understanding. It involves surveying the literature, setting up test environments in MATLAB, participate in data collection, carrying out analysis of audio data, and developing algorithms on MATLAB and Python. The candidate will have to keep practical implementation in mind and, depending on skillset, will be tasked with implementing and testing the results of her/his work on an embedded platform.

 The ideal candidate has strong signal processing knowledge and experience with optimization and machine learning, interested in participating in many aspects of bringing ideas to the real world. 

Duties and Responsibilities 

• Participate in the design and evaluation of signal processing algorithms.
• Characterize audio signals using FFT, spectrograms, transient separation, formant analysis, envelope extraction, etc.
• Implement feature extraction and audio processing algorithms based on DSP/ML in MATLAB/Python/JUCE, considering real-time and embedded systems implementation requirements.
• Summarize, document, and communicate findings, solutions, and strategies.
• Participate in acoustical measurements, data collection, develop experiment protocols, organize user studies. 

Education and work experience

• Electrical engineering, computer science, audio/music technology or related.
• Master’s degree with thesis/projects in audio, and 3+ year of professional experience.
• Bachelor’s degree with relevant experience in audio research, and 5+ year of professional experience. 

Minimum Knowledge, Skills & Abilities:

• Knowledge of audio signal processing, acoustics, statistical analysis.
• DSP knowledge in time-frequency analysis, adaptive filtering, denoising, dynamic equalizers, limiters, compressors, active noise cancellation, feedback control, echo cancellation, etc.
• Experience with implementation of real-time audio applications and plugins.
• Experience with design and optimization of FIR/IIR filters.
• Strong knowledge of MATLAB, Python.
• Knowledge of using DAWs such as Audacity and Reaper.
• Experience with sound and recording equipment such as microphones, audio interfaces, and loudspeakers.

Nice-to have:

• Experience in developing real-time audio applications using C++ audio frameworks (ex: JUCE)
• Knowledge of machine learning for audio applications.
• Experience with real-time operability, complexity reduction and implementation of DSP/ML algorithms targeted for embedded platforms.

Additional skills:

• Effective communication skills in English / French.
• Good people and communication skills: ability to accept directions, provide and receive constructive feedback.
• Strong technical aptitude: exhibit a structured and detail-oriented approach.
• Excellent analytical and problem-solving skills.
• Strong time management and organizational skills; ability to handle multiple tasks, be punctual, and respect deadlines.
• Ability to work both autonomously and collaboratively as part of multi-disciplinary teams.
• Self-motivated and focused. 

If you are meticulous, a problem solver, and a team player, you will feel right at home. Please send your cover letter and or resume to jobs@eers.ca OR submit them through our EERS Career platform.