Machine Learning Resident Client TCG Machines (1 Year)

If you are excited about applying Machine Learning (ML) and Computer Vision (CV) to tackle real-world challenges in fine-grained recognition for the sports and gaming industry this is a perfect opportunity for you. Be a part of the team of research and machine learning scientists building deployable real-world ML applications from ground up and get mentored by some of the best minds in AI during the process.

- Xu Han Machine Learning Scientist and Mara Cairo Product Owner Advanced Technology

About the Role

This is a paid Residency that will be undertaken over a twelve-month period with the potential to be hired by our client TCG Machines 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. This is a rare opportunity to be mentored by world-class scientists and to develop something truly impactful.

About the Client

TCG Machines is a Calgary-based robotics company that makes machines to sort trading cards.

Their core product is the PhyzBatch-9000 (pronounced fizz-batch a portmanteau of physical

Batch) a robot capable of scanning identifying digitally cataloging and physically separating

trading card game (TCG) cards such as Pokémon and Magic: The Gathering. Every year 25

billion new trading cards enter circulation globally resulting in a massive inventory challenge for

the thousands of game stores that buy and sell those cards. These stores are the primary

customer base for TCG Machines. As of this writing the collective fleet of PhyzBatch-9000

sorters have processed over 500 million cards - thats more than 1000 tons of cards!!!

About the Project

The project aims to develop a robust multi-modal system that integrates computer vision and

natural language processing techniques to identify and classify sports/trading cards from image

and text data. A key challenge lies in resolving fine-grained distinctions between highly similar

cards such as minor icon variations foiled finishes and unique serial numbers. This work will

involve curating and structuring large-scale datasets designing novel model architectures that

combine visual features with OCR-extracted text and exploring state-of-the-art deep learning

methods for image retrieval recognition and reasoning over imperfect or incomplete data. The

outcome of this research will be a scalable pipeline capable of accurate real-world card

identification and matching against a structured database.

Required Skills / Expertise

Are you passionate about building great solutions Youll be presented with opportunities to both personally and professionally develop as you build your career. Were looking for a talented and enthusiastic individual with a solid background in machine learning computer vision and image processing along with proven experience in applied settings.

Key Responsibilities:

• Design implement optimize and evaluate computer vision models (including OCR models) and advanced image processing techniques to recognize sports and gaming cards.

• Prepare curate and preprocess high-quality datasets for training or fine-tuning and validating models.

• Utilize state-of-the-art computer vision and ML frameworks tools and open-source libraries to enhance model performance accelerate workflows and optimize data processing.

• Undertake applied research on ML and computer vision techniques to address the limitations in existing models.
• Optimize computer vision and image processing pipelines to ensure efficient scalable and real-time inference while enabling robust performance on edge devices.

• Collaborate with the project team and stakeholders to develop MVP and client focused solutions.
• Engage in regular client meetings contributing to presentations and reports on project progress.

Required Qualifications:

• Completion of a graduate level program or higher (./Ph.D) in Computer Science Machine Learning or Engineering.
• Research and project experience in image processing computer vision and deep learning.
• Proficient in Python programming language and related ML frameworks libraries and toolkits (e.g. Scikit-learn TensorFlow PyTorch OpenCV Pandas HuggingFace).
• 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:

• Previous experience applying ML and computer vision in fine-grained image recognition tasks such as facial recognition.
• Previous experience in applying OCR in image analysis tasks.
• Experience with building training evaluating and quantizing machine learning models to achieve optimized performance in production environments with a focus on low-latency resource-efficient edge-device deployment.
• Knowledge of MKL cuDNN and acceleration techniques for math computing is a plus.
• Experience with deploying machine learning models in production environments or strong software engineering (or MLE) skills is a plus.
• Publication record in peer-reviewed academic conferences or relevant journals in ML or Applied AI (especially in computer vision).

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
• 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
  
  

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 clients organization at the end of the term (at the clients discretion)
  
  

About Amii

One of Canadas 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 worlds 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

If this sounds like the opportunity youve been waiting for please dont wait for the closing October 20 2025 to apply - were excited to add a new member to the Amii team for this role and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application please send your resume and cover letter indicating why you think youd be a fit for your cover letter please include one professional accomplishment you are most proud of and why.

Applicants must be legally eligible to work in Canada at the time of application.

Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity religion gender identity sexual orientation age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and wont be used in the selection process.