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Work where the world comes to create, discover and learn.

We are one of Canada’s top universities and leading research institutions. With more than 8,000 undergraduate and graduate students, two campuses (Lethbridge and Calgary), seven faculties and schools, and more than 2,500 employees, ULethbridge is Lethbridge’s second largest employer. Faculty and staff come together to contribute, each in their own way, to establishing ULethbridge as Canada’s destination university. In 2022, Lethbridge was recognized as one of Canada’s top small cities.

We seek to hire senior and junior Machine Learning Engineers/Specialists to join our Neuroengineering Hub team and help us build innovative solutions to complex scientific and industrial problems. The ideal candidate will have experience developing and implementing machine learning models and a strong computer science, engineering, statistics, and mathematics background.

Responsibilities:
● Design, develop and implement machine learning models to solve real-world problems.
● Work collaboratively with cross-functional teams, including data scientists, software engineers, and product managers, to identify opportunities for machine learning applications.
● Analyze large and complex data sets to extract actionable insights that drive business decisions.
● Develop and maintain scalable and efficient machine learning pipelines.
● Continuously research new technologies and methods to improve the performance and accuracy of machine learning models.
● Collaborate with data engineers to integrate data from various sources into machine learning models.

Requirements:
● Degree in computer science, engineering, statistics, mathematics or related fields.
● Proven experience designing, implementing, and deploying machine learning models using Python, TensorFlow, PyTorch, or other frameworks.
● Solid understanding of statistical methods, data structures, algorithms, and software engineering principles.
● Experience with SQL and databases.
● Strong problem-solving skills and the ability to work in a fast-paced environment.
● Good written and verbal communication skills.
● Experience with cloud platforms like AWS, Azure or Google Cloud Platform is a plus.

We are a rapidly growing university-based R&D development centre that values innovation, technology development, and creativity. We offer competitive compensation, benefits, and the opportunity to work on cutting-edge projects that make a real difference.

If you’re passionate about machine learning and want to work in a dynamic and exciting environment, please apply with your resume and a cover letter describing your relevant experience and why you’re the right fit for this role. If you meet all the requirements, please complete the application form (https://lnkd.in/gFppxy2F) and include it under additional documents with your application. 

We strive to ensure that our team is diverse, equitable, and inclusive. All qualified applicants, including women and members of visible minority groups, are welcome to apply. The applications review will start on Aug 15th, 2023 till the positions are filled.

Hiring Range: $45,000.00 – $75,000.00

The University acknowledges the potential impact that career interruptions can have on a candidate’s record of achievement. We encourage applicants to explain in their application the impact that career interruptions have had on their record.

The University of Lethbridge invites applications from all qualified candidates; however, in accordance with Canadian immigration requirements, Canadian citizens and permanent residents will be given preference.

The University of Lethbridge is committed to providing an inclusive and barrier-free work environment, including through all aspects of the hiring process. If you require support during the hiring process, please contact Human Resources at human.resources@uleth.ca so that accommodations can be put in place to support you. All private information received in relation to your request for support will be kept confidential, only information required to facilitate the accommodation will be shared with the selection committee.