Machine Learning Resident
7 months ago
Taher Abbasi, Machine Learning 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 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.
**About our Client**
SpectraCann is at the forefront of drug testing industry, specializing in innovative solutions for THC and other drugs detection. Our leading product, the THC Breathalyzer, is a portable device designed for rapid detection of THC (tetrahydrocannabinol), the primary psychoactive compound in cannabis.
**About the Project**
We are working on advancing our detection technologies, specifically focusing on improving the accuracy and reliability of THC detection in exhaled breath. Our current method uses an identification algorithm to analyze spectral data. While effective for detecting volatile compounds in the mid-infrared band, this method faces challenges with lower volatility substances, low concentrations, or the presence of confounding chemicals. To overcome these challenges, we aim to develop a classification model that leverages machine learning techniques, approaching the problem based on spectral characteristics. This model will enhance detection accuracy and robustness, even in complex scenarios.
**Required Skills / Expertise**
We’re looking for a talented and enthusiastic individual with solid knowledge of machine learning, demonstrated experience with supervised learning, and experience in applied settings.
**Key Responsibilities**:
- Develop, train, and evaluate ML models customized for addressing challenges in time-series
- Prepare and curate time-series datasets for ML training and optimization
- Utilize relevant open-source tools to enhance data and ML tasks
- Conduct applied research on ML techniques, with a focus on overcoming obstacles within the time-series domain
- 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
- Optimize ML pipelines to ensure efficiency, scalability, and real-time 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 spectroscopy
- 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**:
- Publication record in peer-reviewed academic conferences or relevant journals in machine learning
**Non-Technical Requirements**:
- Desire to take ownership of a problem and demonstrated 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 Fellow and 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 economic impact.
**How to Apply
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