Machine Learning Intern - Jobs in Edmonton, AB

Job Description

“If you are interested in the novel applications of machine learning to optimize water treatment processes, this is the right opportunity for you. Be a part of the team of research and machine learning scientists and get mentored by some of the best minds in AI.” - Payam Mousavi, Machine Learning Scientist and Mara Cairo, Product Owner, Advanced TechnologyDescription*About the Role*This is a paid internship that will be undertaken over a eight-month period with the potential to be hired by our client afterwards (note: at the discretion of the client). The intern will be reporting to an Amii Scientist and regularly consult with the Client team to share insights and engage in knowledge transfer activities.They will work closely with the rest of the team, and collaborate to find innovative solutions to the business problem. They will support Amiis internal team as subject matter experts based on their technical specialties and applied Machine Learning experience.At the end of the engagement, it is expected that the work will be publishable to a respected conference or journal.About our ClientISL Adapt, a sister company to Western Canadas long-standing ISL Engineering and Land Services Ltd., was created to identify and design AI opportunities that can improve community infrastructure. A joint effort between the Alberta Machine Intelligence Institute, the University of Alberta and ISL Engineering is exploring how machine learning (ML) can make water treatment more environmentally friendly and cost-effective.When Drayton Valley - a small town about 130 kilometers southeast of Edmonton - decided to replace their aging water treatment plant, they hired ISL Engineering to build a facility that could handle future population growth in a sustainable fashion. This award-winning water treatment plant design was commissioned in 2015 and has a mandate to promote innovative research and development in Alberta.About the ProjectWater treatment plants are very power-intensive, so reducing energy use was one of the main goals for ISL Adapt’s Initiative. Much of that energy use comes from pumping water, especially for a plant like Drayton Valley, which uses a process called ultrafiltration. The process uses chemicals on untreated water, causing solids and contaminants to bind together and sink to the bottom of the tank. Then, the plant pumps the water through special membranes, which filter out smaller contaminants and let clean water through.As time goes on, those membranes get dirty and have to be cleaned by backwashing treated water through them. A more efficient system means more effective cleaning, which means less pumping and less energy used. Its a complex process, further complicated by the fact that water conditions are always changing. Rainfall, seasonal melt and other biological factors can greatly affect the quality of raw or untreated water and change the way plant operators have to deal with it. You can see the North Saskatchewan River changing in front of you each year, said ISLs Douglas Hallett. You can see it turn from glacial blue to brown, or green as algae grows in the summer months. How do you tune a plant to respond to different changes in the environment To find ways to tackle the problem, ISL set up a pilot facility - a mini-plant-within-a-plant, fitted with sensors and tools to help the Amii team gather data on what factors could help reduce energy use and adapt to changing water conditions.Working with the University of Alberta’s Reinforcement Learning and Artificial Intelligence Lab (RLAI), the Alberta Machine Intelligence Institute (Amii), and the Town of Drayton Valley; the project will focus on process control, automation and data analytics.Required Skills / ExpertiseWe’re looking for a talented and enthusiastic individual with solid knowledge of machine learning and experience working with temporal datasets.*Key Responsibilities: *

• Perform exploratory data analysis
• Process, wrangle, curate, and model large datasets
• Produce high-quality code with excellent reliability and scalability
• Build, train, and evaluate ML models
• Develop Data and ML workflows
• Undertake applied research on ML techniques to address the limitations in existing models
• Collaborate with project team and stakeholders to develop MVP
• Participate in regular meetings with the client, preparing presentations and reports

Required Qualifications:

• Completion of a Computing Science, Optimization, Mathematics, or ML graduate program, MSc. or PhD
• Solid understanding and experience in applications of deep learning models and techniques as well as reinforcement learning
• Proficient in Python programming language and related ML frameworks, libraries and toolkits (e.g. Scikit learn, Keras, Tensorflow, PyTorch, Pandas, Jupyter notebooks)
• A positive attitude towards learning and understanding a new applied domain
• Must be legally eligible to work in Canada

Preferred Qualifications:

• Previous experience with process automation, optimization, reinforcement learning, and simulations
• Prior software engineering experience in industry (e.g., data pre-processing, PLC programming, creating/managing dashboards, databases)
• Familiarity with the water treatment systems or industrial process controls
• 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
• 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

Why You Should ApplyBesides 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 an ongoing machine learning role at the client’s organization at the end of the term (at the client’s discretion)

About AmiiOne 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*If this sounds like the opportunity youve been waiting for, please don’t wait for the closing date of November 15, 2022 to apply - the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application, please send your resume and cover letter indicating why you think youd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.Applicants must be legally eligible to work in Canada at the time of application.Amii is proud to be an equal opportunity employer. We are committed to creating a diverse, inclusive and excellent workforce.Job Types: Internship, ApprenticeshipQuick Apply

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