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Associate Professor Computer Science Jobs in Alberta

Developer, Senior Associate

Calgary, AB · On-site

CA$87K - CA$137K/yr

The Opportunity As aDeveloper, Senior Associate,unlock your potential and embrace the chance to ... Bachelors orMastersdegree in Computer Science, Software Engineering or similar * Full-Stack ...

University degree in computer science, engineering, data science, mathematics, or a related ... Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning ...

A degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative ... Databricks GenAI Engineer Associate certification. * Exposure to enterprise engagement cycles and ...

Associate's degree, certificate program in IT/Computer Science, or demonstrated equivalent experience or self-study. Preferred * Familiarity with Microsoft Active Directory, EntraID Azure, M365 Suite

\n \n \n \n \n Emerald Associates is a Canadian Oracle Partner. Headquartered in Calgary, Alberta ... Degree or diploma in computer science or a related discipline\n \n * 5+ years of Java or Kotlin ...

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Associate Professor Computer Science information

See Alberta salary details

$20.5K

$67.3K

$158K

How much do associate professor computer science jobs pay per year?

As of Sep 10, 2026, the average yearly pay for associate professor computer science in Alberta is $67,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What does an associate professor of computer science do?

An Associate Professor of Computer Science is a mid-level faculty member at a college or university who teaches undergraduate and graduate courses, conducts research in computer science, and publishes scholarly work. They also supervise students, mentor junior faculty, and may participate in curriculum development and academic committees. In addition to teaching and research, Associate Professors often contribute to their academic community through service, such as organizing conferences or reviewing papers. Promotion to this rank usually follows demonstrated excellence in teaching, research, and service over several years as an Assistant Professor.

What are the key skills and qualifications needed to thrive as an associate professor of computer science, and why are they important?

To thrive as an Associate Professor of Computer Science, you need an advanced degree (typically a PhD) in computer science or a related field, with a strong track record in research, teaching, and publications. Familiarity with programming languages, learning management systems (such as Canvas or Blackboard), and research tools like MATLAB or Python is typically required. Excellent communication, mentorship, and collaboration skills help foster student engagement and interdisciplinary partnerships. These competencies are crucial for advancing research, delivering effective instruction, and contributing to the academic community.

What opportunities for interdisciplinary collaboration are available to associate professors in computer science?

As an Associate Professor in Computer Science, you will often have the chance to collaborate with faculty and researchers from various departments such as engineering, medicine, business, and the social sciences. Many universities encourage interdisciplinary projects, allowing you to contribute your computing expertise to diverse research initiatives. These collaborations can enhance your research portfolio and open up new funding opportunities. Additionally, interdisciplinary work often leads to broader impacts and can help build professional networks both within and outside your institution.

What is the difference between Associate Professor Computer Science vs Assistant Professor Computer Science?

CriteriaAssociate Professor Computer ScienceAssistant Professor Computer Science
Required CredentialsPh.D. in Computer Science or related field, significant research and teaching experiencePh.D. in Computer Science or related field, typically early in academic career
Work EnvironmentUniversity faculty, research, teaching, service responsibilitiesUniversity faculty, research, teaching, service responsibilities
Employer & Industry UsageHigher academic rank, more responsibilities, often involved in departmental leadershipEntry-level faculty position, focus on establishing research and teaching

The main difference between Associate Professor Computer Science and Assistant Professor Computer Science lies in experience and rank. Associate Professors have more research, teaching, and service experience, often holding a higher academic rank with additional responsibilities. Assistant Professors are typically early-career faculty members working towards promotion. Both roles require a Ph.D. and are common in university settings, but the Associate Professor position signifies a more advanced career stage.

What are popular job titles related to Associate Professor Computer Science jobs in Alberta?

For Associate Professor Computer Science jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Associate Professor Computer Science jobs in Alberta look for?

The top searched job categories for Associate Professor Computer Science jobs in Alberta are:

What cities in Alberta are hiring for Associate Professor Computer Science jobs?

Cities in Alberta with the most Associate Professor Computer Science job openings:

Infographic showing various Associate Professor Computer Science job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $67,329 per year, or $32.4 per hour.

Associate Software Engineer (Winter 2027)

Edmonton, AB • On-site

CA$15K - CA$20K/mo

Full-time

PTO

Posted 15 days ago


Job description

About Us:
AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions.

We are a company like no other - we believe in making small bets, failing fast, and being better together. We are looking for creative problem-solvers who obsess about the customer to find wins across different industries.

We don't hire for fit; we hire to add. We are looking for people who play our core values of being: Agile, Gritty Humble, and Happy. If you're passionate about AI/ML, thrive in a dynamic environment, and want to work with a diverse team of wickedly smart people, we want to hear from you!

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, Metis, 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 ML 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.


Core Values:
At AltaML, we are driven by our core values. We believe that by embodying these values in everything we do, we will exceed our customer's expectations while creating a positive and empowering work environment for our team members. We are dedicated to living our values and strive to make them the foundation for our success. 

Gritty - We are entrepreneurial, determined, and resilient, pushing through challenges to achieve our goals.

Agile - We make decisions based on "little bets" creating a safe space to take risks. We embrace an interactive process, allowing ideas to fail quickly or be scaled iteratively. Together, we continuously refine and improve our approach to reach the desired outcome. 

Humble - We listen to data, embrace new ideas, admit limitations and take ownership to solve problems. We constantly push ourselves to improve and excel.  

Happy - We ignite passion and purpose by fostering a dynamic work environment. We encourage tap dancing to work, common sense over rules, empowering team members to find joy in their contributions, and being your authentic self.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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