Job Description

Position Overview The Department of Community Health Sciences in the Cumming School of Medicine invites applications for a Senior Machine Learning Engineer. This Full-time Fixed Term position is for approximately 18 months (based on length of grant funding), with the possibility of extension. Reporting to the Principal Investigator. The Senior Machine Learning Engineer will be a key member of the Data Intelligence for Health (DIH) Lab (https://cumming.ucalgary.ca/dih) and lead the machine learning work in several research projects with the goal of deploying the developed machine learning models in the real world. This position will also involve the development of a software platform for machine learning development and deployment. Position Description Summary of Key Responsibilities (job functions include but are not limited to):

• Develop production-level prediction models for real-world deployment using complex large-scale data and advanced machine learning methods
• Develop a machine learning software platform to support development and deployment\
• Engage with other researchers, stakeholders, and end-users to understand and incorporate their needs into machine learning-based technology
• Organize and curate related data assets and trained machine learning models
• Meticulously develop and document source code
• Support publications and presentations of research findings, as well as commercialization activities, as needed

Qualifications / Requirements:

• Bachelor's, Master's, or PhD degree in machine learning, data science, computer science, biomedical/electrical/computer/software engineering, or a relevant field
• At least 3 years of machine learning experience in academia and/or industry
• Advanced theoretical knowledge of supervised, unsupervised, deep learning, and natural language processing methods
• Advanced Python proficiency in conducting data science and machine learning using scikit-learn, TensorFlow, Keras, PyTorch, NumPy, pandas, NLTK, etc.
• Extensive experience with high-performance computing including using GPUs for deep learning
• Experience with real-world deployment of machine learning-based technology
• Advanced proficiency in GitHub
• Advanced proficiency in database technologies such as SQL and MongoDB
• Demonstrated creativity and problem-solving skills
• Ability to work independently with limited supervision
• Ability to work collaboratively within a multi-disciplinary team
• Strong organizational skills and attention to detail
• Strong written/spoken communication and teamwork skills
• Health research experience in an academic setting
• Understanding of health information systems
• Proficiency in data/information visualization

Application Deadline: August 26, 2022 We would like to thank all applicants in advance for submitting their resumes. Please note, only those candidates chosen to continue on through the selection process will be contacted. Additional Information This position is part of the AUPE bargaining unit, and falls under the Technical Job Family, Phase II. To find out more about management and staff opportunities at the University of Calgary and all we have to offer, view our Management and Staff Careers website. For more information visit Careers in the Cumming School of Medicine. The University strongly recommends all faculty and staff are fully vaccinated against COVID-19. About the University of Calgary The University of Calgary is Canada's leading next-generation university - a living, growing and youthful institution that embraces change and opportunity with a can-do attitude. Located in the nation's most enterprising city, the university is making tremendous progress on its Eyes High journey to be recognized as one of Canada's top five research universities, grounded in innovative learning and teaching and fully integrated with the community it both serves and leads. The University of Calgary inspires and supports discovery, creativity and innovation across all disciplines. For more information, visit ucalgary.ca. The University of Calgary has launched an institution-wide Indigenous Strategy in line with the foundational goals of Eyes High, committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do. As an equitable and inclusive employer, the University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here. In particular, we encourage members of the designated groups (women, Indigenous peoples, persons with disabilities, members of visible/racialized minorities, and diverse sexual orientation and gender identities) to apply. To ensure a fair and equitable assessment, we offer accommodation at any stage during the recruitment process to applicants with disabilities. Questions regarding [diversity] EDI at UCalgary can be sent to the Office of Equity, Diversity and Inclusion (equity@ucalgary.ca) and requests for accommodations can be sent to Human Resources (hrhire@ucalgary.ca). We encourage all qualified applicants to apply, however preference will be given to Canadian citizens and permanent residents of Canada.