This is a paid residency that will be undertaken over a 6-month period with the potential to be hired by our client, Hines Health Services, 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.
Contributing to enhancing AI-driven candidate-job matching across credentials, experience, availability, and regulatory requirements.
Improving model performance, scalability, and robustness through iterative testing and evaluation.
Strengthening data pipelines and feature engineering to support mobilization at scale.
Supporting production-ready ML solutions that integrate into HHS’s live operational environment.
Engaging in regular client meetings, contributing to presentations and reports on project progress.
Supporting the productionalization and deployment of models in the client environment.

Completion of a Computer Science (or a related scientific graduate degree program) MSc. or PhD.
Research or project experience in machine learning, specifically using NLP/LLM tools and techniques
Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g., Scikit-learn, TensorFlow, PyTorch, OpenCV, Pandas, HuggingFace, Langchain, Llamaindex ).
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 unstructured data.
Publication record in peer-reviewed academic conferences or relevant journals in machine learning (specifically LLM work or applied ML applications)
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.

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)

Machine Learning Resident – Client: Hines Health Services Inc.

Key skills