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Added 9 days ago
SAP AI Orchestration Developer
Talan
Toronto, ON · Montreal, Québec
$140,000 to $200,000 CAD / year
Full-time
…Delivery for engagement assignment, the SAP AI Orchestration Developer designs and builds AI-enabled business processes on the SAP Business AI…
Added 9 days ago
SAP BTP Full-Stack and Integration Developer
Talan
Toronto, ON · Montreal, Québec
$135,000 to $175,000 CAD / year
Full-time
…engagement assignment, the SAP BTP Full-Stack and Integration Developer builds the services, applications, and integrations designed for Talan…
Added 9 days ago
SAP BTP Full-Stack and Integration Developer
Talan
Toronto, ON
$135,000 to $175,000 CAD / year
Full-time
…engagement assignment, the SAP BTP Full-Stack and Integration Developer builds the services, applications, and integrations designed for Talan…
Added 9 days ago
DATA ENGINEER
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Mississauga, ON
Full-time
…#ReferenceData #DataAnalytics #Oracle #SQL #PLSQL #Python #Java #API #ETL #DataWarehouse #DataEngineering #SDKDevelopment #Citi #CitiBank #Altimetrik #MississaugaJobs #CanadaJobs #ITJobs…
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Contract
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Staff Cloud Security Engineer (Global Security)
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Vancouver, BC · Toronto, ON
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Added 10 days ago
Full Stack Engineering - Securities Financing
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Toronto, ON
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Added 10 days ago
Machine Learning Scientist
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
Full-time
Proficient in Python, experience in other programming languages i.e. Java or SQL (nice to have)
Added 11 days ago
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Strong programming skills in Gosu, Java, or similar object-oriented languages.
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Added 10 days ago
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Added 11 days ago
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Amii (Alberta Machine Intelligence Institute)

Machine Learning Scientist

Edmonton, AB, Canada

Job type: Full-time
Apply by: Oct 16, 2026
Posting language: English
Posted: Sep 16, 2026

Apply About employer

Applications open in a new tab.

Original job description

“Are you passionate about innovating with AI at the intersection of industry and academia? Are you interested in contributing to ML projects that redefine what’s possible? If so, we want to hear from you! We’re seeking talented individuals to join our ML staff to work on projects spanning industries, specializations, and applications.”

Dave Staszak, Lead Machine Learning Scientist

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.

About The Role

Reporting to the Lead Machine Learning Scientist, Advanced Technology, the Machine Learning Scientist, Advanced Technology serves as a key member in maintaining Amii's reputation for scientific excellence and providing insight into their area of expertise.

This position is responsible for the delivery of innovative solutions to Amii's industry partners by leading applied ML projects and mentoring junior team members. Their expertise bridges the gap between fundamental ML techniques and business opportunities, guiding clients through the complexities of AI adoption.

The Advanced Technology team sources technical talent to work on our industry partners’ projects and the Machine Learning Scientist is responsible for supporting that talent through those project deliveries.

The position focuses on achieving excellence in four main accountabilities:

Client Success: Work with Amii clients to advance their ML projects and capabilities.
Machine Learning Expertise: Serve as a subject matter expert to guide and support organizational initiatives.
Research & Development: Support the advancement of ML research and development in both industry and academia.
People Leadership: Mentor junior team members to help them achieve their goals and advance their professional growth.

Required Skills / ExpertiseKey Responsibilities:

Client Success

Leads regular client meetings to understand their machine learning objectives and provides tailored technical guidance to support project development
Bridges the gap between fundamental ML techniques and business opportunities, providing scientific insight into technical projects
Supports the implementation of exploratory data analysis and machine learning modelling techniques
Conducts client discovery sessions to understand and determine specific needs and requirements
Coaches clients to efficiently extract insights and make informed decisions
Writes and reviews technical reports and code
Develops and nurtures strong relationships with clients through effective communication and scientific excellence
Incorporates client feedback to enhance delivery and ensure client success

Machine Learning Expertise

Establishes themselves firmly as a trusted subject matter expert in a specific domain, ideally including reinforcement learning
Coaches junior staff through the model-building process, providing expertise and support
Mentors junior team members on career development and progression, drawing lessons for coaching opportunities
Encourages a collaborative work environment by facilitating teamwork and the exchange of ideas among team members
Identifies and addresses knowledge gaps, providing solutions or resources to bridge them
Ensures the Principled AI Framework is integrated into all projects, promoting ethical AI development and usage

Research and Development

Translates academic research into practical applications, applied research and industry solutions
Conducts research in leading-edge methods in various AI domains, such as reinforcement learning (RL), computer vision (CV), natural language processing (NLP) and large language models (LLMs)
Transfers knowledge across domains and industries, building a strong technical repertoire to bring to new problems
Prepares manuscripts for publication in peer-reviewed journals
Supports fundamental research in AI through applied research projects and the development of research topics

People Leadership

Provides supervision to junior team members by overseeing and refining their work, and managing approval processes
Mentors direct reports on career development and progression, drawing lessons for coaching opportunities
Fosters a collaborative work environment by facilitating teamwork and the exchange of ideas among team members
Encourages and maintains a problem-solving approach to work while acting as a coach and collaborator
Identifies and addresses knowledge gaps, providing solutions or resources to bridge them
Functions as a point of escalation for addressing challenges and facilitating the resolution of problems

Qualifications:

Masters in Computer Science with a specialization in Machine Learning or related field with relevant applied experience in Machine Learning
2+ years experience developing, training, and evaluating machine learning models in an industrial setting
Experience and expertise with Reinforcement Learning as demonstrated with academic projects and/or industrial application (nice to have)
1+ years experience in a leadership capacity in industry or academic setting (nice to have)
Proficient in Python, experience in other programming languages i.e. Java or SQL (nice to have)
Proficient with machine learning tools and frameworks such as Pytorch, Pandas, Scikit-learn, Optuna, Wandb, lightgbm/XGBoost, and SciPy
Publication record in peer-reviewed academic conferences or relevant journals
Ability to explain complex technical concepts clearly to non-technical audiences
Thorough understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning
Experience leveraging cloud based tools for ML model building and deployment

Knowledge, Skills and Abilities (KSA):

Strong analytical and problem-solving abilities, with a keen attention to detail
Flexibility and willingness to adapt, including working with disparate data, skill levels, and client needs
Works independently and make informed decisions while collaborating with team members and subject matter experts
Able to identify gaps in knowledge and triage their own learning appropriately
Comfortable taking a leadership role, providing expert scientific guidance and mentorship to both clients and junior team members
Exhibits confidence and sound judgment while collaborating with subject matter experts

What you'll love about us

A professional yet casual work environment that encourages the growth and development of your skills
Participate in professional development activities
Gain access to the Amii community and events
A chance to learn from amazing teammates who support one another to succeed
Competitive compensation, including paid time off and flexible health benefits
A modern office located in downtown Edmonton, Alberta

How to Apply

If this sounds like the opportunity you've been waiting for, please don’t wait for the closing September 30, 2026 to apply - we’re 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 you'd be a fit for Amii. In 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 won’t be used in the selection process.

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More about this job

Responsibilities

The Machine Learning Scientist leads applied ML projects for industry partners while mentoring junior team members to ensure scientific excellence. They bridge the gap between fundamental research and business opportunities by providing technical guidance and implementing innovative AI solutions.

Requirements

Candidates must hold a Master's degree in Computer Science or a related field with at least 2 years of industrial experience in machine learning. Proficiency in Python and experience with major ML frameworks, along with a strong publication record, are required.

Skills

Machine learning
Reinforcement learning
Python
Pytorch
Pandas
Scikit-learn
Optuna
Wandb
XGBoost
SciPy
Computer vision
Natural language processing
Large language models
Mentorship
Data analysis
Cloud computing

Benefits

Professional development activities
Paid time off
Flexible health benefits

Visa sponsorship

Not detected in the job text

Hiring contact

Dave Staszak

Keywords

Machine Learning
Reinforcement Learning
Artificial Intelligence
Python
Pytorch
Pandas
Scikit-learn
Optuna
Wandb
XGBoost
SciPy
Computer Vision
Natural Language Processing
Large Language Models
Cloud Computing
Applied Research
Mentorship
Data Analysis
Principled AI Framework
Supervised Learning
Unsupervised Learning
Technical Leadership
Industry Collaboration
Academic Research
Model Deployment

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