Machine Learning Intern

David Staszak, Lead Machine Learning Scientist and Adam Danyleyko, Product Owner, Advanced Technology

**About the Role**

**About the Client**

We are a pioneering company dedicated to transforming healthcare through innovative neuroscience technologies. Our mission is to improve the lives of individuals with mobility impairments by developing cutting-edge rehabilitation products. From stroke recovery to pressure injury prevention, our solutions are clinically proven to enhance patient outcomes and restore independence. Join us in our journey to revolutionize patient care and make a meaningful impact on global health.

**About the Project**

Our mission is to transform pressure injury care through intelligent technology. We are developing an AI-powered Clinical Decision Support tool that helps clinicians predict, prevent, and manage pressure injuries—one of the most costly and devastating hospital-acquired conditions. By integrating real-time neurostimulation data with predictive AI/ML models, our system delivers actionable insights that guide timely interventions, enhance patient outcomes, and reduce nursing burden. This innovation empowers hospitals to shift from reactive treatment to proactive prevention—improving care quality while optimizing resources.

**Required Skills / Expertise**

Are you passionate about building great solutions? You’ll be presented with opportunities to both personally and professionally develop as you build your career. We’re looking for a talented and enthusiastic individual with a solid background in machine learning and keen interest and/or domain experience in health/medicine fields.

**Key Responsibilities**:

- Utilize a range of supervised, unsupervised and NLP methods to build a robust and deployable predictive model.
- Ingest and understand (including performing exploratory data analysis and baseline statistical assessments) medical data from multiple hospital networks and sources
- Experiment and fine-tune the model(s) as necessary based on the performance of baseline and deployment expectations
- Collaborate with the project team and domain experts to iteratively develop models and define patient inclusion/exclusion rules
- Participate in regular meetings with the client and stakeholders, preparing presentations and reports
- Research and implement different approaches to the problem from literature as well as publicly available tools.

**Required Qualifications**:

- 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
- 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

**Preferred Qualifications**:

- Familiarity with and hands-on experience with medical and/or health data
- Publication record in peer-reviewed academic conferences or relevant journals in machine learning
- Experience using NLP tools and techniques

**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
- Intellectual curiosity and the desire to learn new things, techniques, and technologies

**Why You Should Apply**

Besides 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
- 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)

**About Amii**

One 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