Machine Learning Resident

7 days ago

Edmonton, Alberta, Canada Alberta Machine Intelligence Institute Full time
Payam Mousavi | Applied Research Scientist

About the Role


This is a paid residency that will be undertaken over a twelve-month period with the potential to be hired by our client ZeroSound afterwards (note: at the discretion of the client).

The resident will be reporting to an Amii Scientist and regularly consult with the Client team to share insights and engage in knowledge transfer activities.

At the end of the engagement, it is expected that the work could be publishable to a respected conference or journal.


About our Client


ZeroSound Systems Inc., established in 2018, is dedicated to pioneering Digital Active Noise Suppression technology for both indoor and outdoor environments.

Their intelligent platform provides industrial clients with the tools to measure, understand, and control noise effectively, setting new standards in noise management.


About the Project
At ZeroSound, the objective is to redefine noise control through advanced technology.

This project endeavors to pioneer AI-driven solutions tailored to combat the challenges of noise pollution across diverse environments, with a focus on integrating audio and sound engineering aspects.


The project's primary goals include the analysis of audio data sourced from various environments, facilitating real-time monitoring and management of noise levels.

Additionally, it aims to leverage sound engineering principles to develop innovative solutions for noise cancellation and mitigation.

Through this engagement with Amii, ZeroSound seeks to establish itself as a leader in the field of noise control technology by delivering groundbreaking products that set new standards in the industry.


Required Skills / Expertise


Are you passionate about building great solutions? Do you want to drive a high impact early-stage business? You'll be presented with opportunities to both personally and professionally develop as you build your career.

We're looking for a talented and enthusiastic individual with a solid background in machine learning (with a focus on reinforcement learning), ideally with some experience in signal processing, control engineering, and audio/sound processing.


Key Responsibilities:

  • Develop, train, and evaluate ML models customized for addressing challenges in noise cancellation and sound manipulation.
  • Prepare and curate datasets, focusing on signal and audio data, for ML training and optimization.
  • Utilize relevant opensource tools to enhance data and ML tasks related to audio and sound engineering.
  • Conduct applied research on ML techniques, with a focus on overcoming obstacles within the signal processing and audio domains.
  • Collaborate with crossfunctional teams and stakeholders to develop minimum viable products (MVPs) and clientcentric solutions.
  • Engage in regular client meetings, contributing to presentations and reports on project progress.
  • Optimize ML pipelines to ensure efficiency, scalability, and realtime processing capabilities.

Required Qualifications:

  • Completion of a graduate level program or higher (M.Sc/Ph.
D) in Computing Science, ML or Engineering

  • Research or project experience in machine learning and specifically reinforcement learning
  • Proficient in Python programming language and related ML frameworks, libraries and toolkits (e.g. Scikit learn, Tensorflow, PyTorch, Pandas)
  • A positive attitude towards learning and understanding a new applied domain
  • Must be legally eligible to work in Canada

Preferred Qualifications:

  • Experience with signal processing and control engineering
  • Handson experience in AI/ML development projects
  • Publication record in peerreviewed academic conferences or relevant journals in machine learning

Non-Technical Requirements:

  • Desire to take ownership of a problem and demonstrate leadership skills
  • Interdisciplinary team player enthusiastic about working together to achieve excellence
  • Capable of critical and independent thought
  • Intellectual curiosity and the desire to learn new things, techniques, and technologies

Why You Should Apply

Besides gaining industry experience, additional perks include:

  • Work under the mentorship of an Amii Scientist for the duration of the project
  • Participate in professional development activities
  • Gain access to the Amii community and events
  • Build your professional network
  • The opportunity for a ongoing machine learning role at the client's organization at the end of the term (at the client's discretion)

About Amii


One of Canada's three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world's top scientific talent.

Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and ec

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