Machine Learning Resident (12 Months)

at  Alberta Machine Intelligence Institute

“Come work with us to explore the application of reinforcement learning for enhancing Active Noise Cancellation (ANC) algorithms for suppressing noise in complex environments. If you are an RL/ML researcher or engineer excited about applying your skills to an important real-world industrial application, this is the right opportunity for you. You will have the opportunity to learn a new domain and be mentored by a team of senior scientists and engineers.”
Payam Mousavi | Applied Research Scientist

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.

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
• Experience applying machine learning specifically to audio/sound engineering, including active noise cancellation and sound manipulation projects.
• Hands-on experience in AI/ML development projects
• Publication record in peer-reviewed 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
• Able to communicate technical concepts clearly and advise on the application of machine intelligence
• Intellectual curiosity and the desire to learn new things, techniques, and technologies

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.

KEY RESPONSIBILITIES:

• Design, implement, and optimize ML algorithms specifically tailored for signal processing and audio/sound engineering applications.
• 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 open-source 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 cross-functional teams and stakeholders to develop minimum viable products (MVPs) and client-centric solutions.
• Engage in regular client meetings, contributing to presentations and reports on project progress.
• Create and optimize data and ML workflows specifically tailored for audio and sound engineering applications.
• Optimize ML pipelines to ensure efficiency, scalability, and real-time processing capabilities.