Associate Software Engineer (Winter 2027)

Key Skills

Aartificial intelligence, Analytical and Problem solving, Continuous Integration & Continuous Delivery - CI/CD, JavaScript, Machine learning techniques, Node.js, Python Programming, SDLC, Software Development, TypeScript

Job Description

About the Role:

Please note: This is a 4 or 8-month opportunity for current students looking for work experience starting in January 2027.

As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform — an intelligent, adaptive system designed to automate workflows and power smarter decision-making. You’ll collaborate with engineers, product managers, and designers to develop clean, efficient code that drives both reliability and innovation.

Your work will span frontend and backend development, from fixing bugs and resolving integration challenges to developing new features and improving platform performance. You’ll also have the opportunity to work directly with AI and agentic solutions, leveraging these tools to optimize development, accelerate delivery, and shape how intelligent systems interact with one another.

This role is ideal for someone who’s passionate about modern software engineering, eager to deepen their technical foundation, and excited to contribute to a platform at the frontier of AI and automation.

Location: This posting is for an existing vacancy for a candidate based in Edmonton, Calgary, Toronto.

Participating Universities: This opportunity is currently open to anyone that is currently enrolled at the U of Alberta, U of Calgary, U Waterloo, U of Toronto. As this is a Mitacs funded opportunity, please reach out if you have questions regarding your eligibility.

Application Process:

Step 1: Apply

Step 2: You will be notified prior to the application deadline if you are moving to the next stage (via email correspondence)

Step 3: Online technical assessments

Step 4: 45 minute interview

Step 5: Background checks and offer

Step 6: Welcome to AltaML!

What you'll do:

• Develop and maintain high-quality, well-documented code across both frontend and backend systems.
• Troubleshoot and resolve bugs, integration issues, and performance bottlenecks in production and staging environments.
• Implement new features and enhancements, particularly those that improve dashboard usability and data visibility.
• Collaborate closely with cross-functional teams to translate technical requirements into scalable solutions.
• Leverage AI and agentic development tools to automate testing, improve code efficiency, and streamline CI/CD pipelines.
• Contribute to technical documentation, code reviews, and agile workflows to ensure strong engineering practices and maintainable codebases.
• Stay current on software trends, frameworks, and architectures — bringing new ideas to strengthen our agentic infrastructure.

What you bring:

• Progress toward a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• Proficiency in one or more modern programming languages such as Python, JavaScript, TypeScript, or Node.js.
• Solid understanding of the Software Development Life Cycle (SDLC) and agile methodologies.
• Familiarity with frontend frameworks (React, Vue) or backend technologies (APIs, databases, microservices, or cloud infrastructure).
• Exposure to machine learning concepts or experience working with agentic systems is an asset.
• Strong problem-solving, debugging, and analytical skills, with a focus on clean, maintainable code.
• A collaborative mindset and the ability to learn quickly in a dynamic, evolving technical environment.

$15,000 - $20,000 one-time

Compensation: The expected compensation for this role is a Mitacs stipend award between $15,000 - $20,000 CAD for a 4 month term, dependent on qualifications, experience, and assessment performance.

Responsible AI (RAI)

AltaML employees, contractors, and associates must be trained and well-versed in the importance of Responsible AI and empowered to enact RAI principles by developing and deploying AI solutions. They should also be empowered to raise and escalate RAI concerns as required.

AltaML is responsible for elevating public discourse and awareness of AI through open, transparent communications with the broader public.

Equal Opportunities

AltaML is dedicated to fostering a safe, diverse, and inclusive workplace as an equal-opportunity employer. We welcome applications from qualified individuals of all backgrounds, encompassing ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and educational backgrounds. If you are invited for an interview and require accommodations during the interview process, please don’t hesitate to let us know.

AltaML acknowledges that its head office is located on Treaty 6 territory, and respects the histories, languages, and cultures of First Nations, Métis, Inuit, and all First Peoples of Canada, whose presence continues to enrich our vibrant community.

We Look for A-Players Who:

• Express our core values
• Are hungry for knowledge
• Want to learn new skills
• Are respectful
• Collaborate with others across the whole company
• Share knowledge with coworkers
• Educate and promote AI and ML concepts both internally and externally
• Have a high work ethic and are self-motivated

Our Perks:

• Uncapped Vacation - For all full time, permanent employees. Seriously, take the time you need - when you need it.
• Make an Impact - Witness the impact your work contribution has on the success of our company.
• Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI.
• Competitive Benefits - For all full time, permanent employees.
• Office as a Resource - Hybrid work environment with state-of-the-art office spaces that ignite collaboration.
• Big Slack Energy - IYKYK.

Our Culture:

You will be working in a high-paced environment focused on creating unique AI solutions to problems across multiple industries to generate impactful value. You will be working at a company with employees who have multiple years of industrial and academic experience in data science, software engineering, product development, and machine learning fields.

You will be able to experience a collaborative company culture, which means we believe in working hard, getting the job done, and enjoying the group social on Fridays. You’ll also get flexibility in where you work, what hours you work, how much vacation you take, and what you wear. We expect hard work but respect work/life balance.