Hybrid Machine Learning Resident – Client: Dune Engineering

at Alberta Machine Intelligence Institute (Amii)

• Job title: Machine Learning Resident – Client: Dune Engineering
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Linux, Pandas, Python, PyTorch, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, Edmonton, Canada

About the role

• Machine Learning Resident supporting engineering design processes at Dune Engineering. Involves collaboration on developing AI-driven methods in a paid residency.

Responsibilities

• This is a paid residency that will be undertaken over a 12-month period with the potential to be hired by our client, Dune Engineering, afterwards (note: at the discretion of the client).
• The Resident will report to an Amii Scientist and regularly consult with the client team to share insights and engage in knowledge transfer activities.
• Successful candidates will be members of a cross-functional project team with backgrounds in ML research, project management, software engineering, and new product development.
• Help shape AI-driven methods and tools to support engineering design processes.
• Collaborate with Dune Engineering’s experts on research, prototyping, and capabilities development.

Requirements

• Completion of a Computer Science (or a related graduate degree program) MSc. or PhD with specialization in Computer Vision/ Optical Character Recognition applications.
• Proficient in developing and training, fine-tuning and evaluating machine learning and deep neural network models in PyTorch and/or TensorFlow.
• Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g., Scikit-learn, TensorFlow, PyTorch, OpenCV, Pandas, HuggingFace).
• Solid understanding of classical statistics and its application in model validation.
• Familiarity with Linux, Git version control, and writing clean code.
• A positive attitude towards learning and understanding a new applied domain.
• Must be legally eligible to work in Canada.
• Familiarity with and hands-on experience with architectural/engineering drawings (e.g., PDFs, CAD files) or GBXML data and its application in ML domain.
• Publication record in peer-reviewed academic conferences or relevant journals in machine learning.
• Experience/familiarity with software engineering best practices.
• Experience with deploying machine learning models in production environments or strong software engineering (or MLE) skills is a plus.
• 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.

Benefits

• 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
• Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
• 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)