Machine Learning Scientist Coop | Winter 2026

Victoria - Canada

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Department:

Product Development

Job Summary

Are you interested in being a part of a team that gets to conceptualize design and build the worlds next-generation medical devices
Are you keen to develop safe and smart Machine Learning (ML) applications that live at the heart of products such as surgical robots smart capsules wearables medical imaging equipment you keen to apply the fundamentals of your classwork to solve real-world problems
Do you want to work as a part of a multi-disciplinary team of scientists engineers and designers who are developing innovative medical devicesIf you answered

YES please check us out.

Location:
Victoria British Columbia

Salary:
The current hourly rate for 3rd year students is $26.70 and for 4th year students $27.91. Final rates will be confirmed later in October 2025.

Position Profile:
As a Machine Learning Scientist co-op you have a track record of learning quickly iterating and experimenting and diving deep into multiple domains. Youll be wearing a data scientist hat a software engineer hat an MLE hat an MLOps hat and probably a bit of a systems engineer hat based on the varying mix of experience required to thrive in this role. The Machine Learning Scientist role reports to the Software Engineering Manager or Software Engineering Lead and is mentored by an in-house Machine Learning Scientist.

Responsibilities:

Work with the Machine Learning Scientists (MLS) to manage label and understand data
Under the guidance of the MLS implement generalizable frameworks and pipelines for end-to-end data processing model development and validation and Model deployment
Apply scientific principles towards the development and validation of medical ML applications
Work closely with cross-functional teams including software engineers and systems engineers to define and implement machine learning models into various applications
Under the guidance of the MLS adapt modify and optimize ML/AI technologies at any level for the task at hand
Communicate findings and recommendations to internal and client-side stakeholders at all levels including non-technical audiences
Dive into numerous medical regimes and build a deep understanding of each clients needs
Stay abreast of the latest developments in machine learning AI and healthcare technologies and contribute share findings with the Starfish engineering team in open forums

Qualifications (Required):

Experience with Python with numerical statistical and ML libraries
Experience with ML techniques and architectures
Ability to work within a team or as an individual with minimal supervision
Strong verbal and written communication skills
Desire and drive to learn new related technologies
Strong curiosity and troubleshooting abilities

Qualifications (Preferred):

Experience in the medical device industry/ISO13485 preferred
Proficiency with multiple programming languages
Experience creating high performance data processing pipelines
Experience training multiple ML architectures and modalities
Experience training and deploying models on various platforms (cloud/consumer hardware/embedded device)

Education and Experience Required/Desired:

Working towards bachelors/masters degree in data science computer science physics or applying data science techniques in your chosen field
Previous relevant co-op or research experience is desired
Previous project experience is desired (school project or side project)
Students in or beyond their 3^rd year are desired

StarFish Medical is Canadas leading Medical Device Design service provider with a full complement of design development and manufacturing services in Victoria and Toronto. We successfully partner with innovative companies (both large and small) to create breakthrough products for a number of medical specialty areas. Our work environment received Canadas Most Admired Corporate Cultures forand 2024 award recognizing best-in-class cultures that have helped enhance performance and sustain a competitive advantage.
Dont meet every single requirement Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At StarFish Medical we are dedicated to building a diverse inclusive and authentic workplace so if youre excited about this role but your past experience doesnt align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles!

Accommodations are available on request for candidates participating in all aspects of the selection process.

How to Apply:
Please apply through the StarFish Medical Portal. Applications will be reviewed as they are received and the posting will remain open until a suitable candidate is found.

If you experience any difficulties when applying please reach out to with the ML Coop Winter 2026 Portal Issues subject line.
We thank all candidates who apply; however only those selected for further consideration will be contacted following initial application acknowledgment. No phone calls please.