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Associate Professor Computer Science Jobs in Quebec

Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred). * Relevant SAP certifications (e.g., SAP Certified Application Associate - Financial Accounting with ...

... Computer Science, Information Technology, Information Security, or related vocations and/or equivalent education/experience. * Relevant certifications such as Azure Security Engineer Associate ...

... Computer Science, Information Technology, Information Security, or related vocations and/or equivalent education/experience. * Relevant certifications such as Azure Security Engineer Associate ...

... Computer Science, Information Technology, Information Security, or related vocations and/or equivalent education/experience. * Relevant certifications such as Azure Security Engineer Associate ...

... Computer Science, Information Technology, Information Security, or related vocations and/or equivalent education/experience. * Relevant certifications such as Azure Security Engineer Associate ...

CA$65K - CA$80K/yr

Vocational or technical training in electronics or computer science. Network+ and A+ certifications or equivalent required. Microsoft Certified Solutions Associate (MCSA) certification or equivalent ...

The Associate Product Manager, IT role will be responsible for identifying and supporting of a ... University degree in Business Administration, Computer Science, or Engineering * 2-3 years of ...

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Showing results 1-20

Associate Professor Computer Science information

See Quebec salary details

$20.5K

$67.3K

$158K

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

As of May 30, 2026, the average yearly pay for associate professor computer science in Quebec 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 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 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 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 Quebec? For Associate Professor Computer Science jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Associate Professor Computer Science jobs in Quebec look for? The top searched job categories for Associate Professor Computer Science jobs in Quebec are:
Infographic showing various Associate Professor Computer Science job openings in Quebec as of May 2026, with employment types broken down into 1% As Needed, 23% Full Time, 72% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $67,329 per year, or $32.4 per hour.

Full Stack Software Developer - Misinformation Mitigation

Mila - Institut quebecois d'intelligence artificielle

Montreal, QC • On-site, Remote

Temporary

Posted 23 days ago


Job description

Temporary position until November 26th 2026

About Mila  

Founded by Professor Yoshua Bengio of the Universite de Montreal, Mila brings together researchers specializing in artificial intelligence, and more specifically in machine learning, deep learning and reinforcement learning. Recognized worldwide for its important contributions to the field of deep learning, Mila has particularly distinguished itself in language modeling, machine translation, object recognition and generative models. Since 2017, Mila has been the fruit of a collaboration between Universite de Montreal and McGill University, in close collaboration with Polytechnique Montreal and HEC Montreal. 

Mila's mission is to be a global hub of scientific advances that inspires innovation and the rise of artificial intelligence (AI) for the benefit of all.

Job description

Misinformation is a critical societal challenge, especially as we enter the generative AI era. As part of the Complex Data Lab's Misinformation Mitigation team, the candidate will lead development of misinformation mitigation systems. They will work with professors Reihaneh Rabbany and Jean-Francois Godbout, lead researcher Dorsaf Sallami, and numerous others on the team (15+ researchers), taking approaches developed in our research towards real world testing and actualization. 

In this role, the candidate will act primarily as a software engineer, playing a key role in maintaining, scaling, and improving  a web app that uses our AI systems to help users better evaluate information veracity. This platform helps users assess uncertain or potentially misleading information, use LLMs and other AI tools to evaluate the input and collect evidence, then provide the user with that evaluation in an understandable and practical form. The developer will maintain, extend, and improve the existing backend and frontend systems and deployment infrastructure that support the web application and related tools, including browser extension. These systems will be tested in societally important contexts like upcoming elections, and improved upon, with the eventual aim of mitigating misinformation at scale and greatly helping people make more informed judgments.

Main responsibilities

  • Design, implement,  maintain, and scale the backend systems powering the platform, combining research results and deployment-ready frameworks.
  • Own backend infrastructure and deployment workflows, including GCP, PostgreSQL, environment configuration, and production reliability.
  • Support and improve existing frontend deployments and integrations.
  • Maintain data pipelines and storage. Advise on overall design, such as feasibility and efficacy of different approaches, cost estimates, and alternatives where needed.
  • Advise student researchers on best practices and help with experiments that demand substantial engineering.

Requirements

Required qualifications

  • BSc degree in Computer Science or a related field
  • 5+ years of experience building large-scale software and web applications
  • Strong experience with web development frameworks like Next.js, CSS, HTML5, etc.
  • Strong LLMOps skills
  • Solid knowledge of Python
  • Database management experience (e.g., Mongo)
  • Experience with threading and concurrency
  • Experience with containerization
  • Experience with testing and version control
  • Experience with APIs, web services and RESTFul conventions.
  • Proficient English (our team includes numerous international collaborators and English is the lingua franca)

Preferred qualifications

  • Experience with closed-source LLM APIs (especially OpenAI; others a bonus)
  • Experience deploying open and closed-source LLMs
  • Experience with vector databases and RAG
  • Proficiency with web scraping 
  • Experience with GCPor other leading cloud platforms
  • Experience developing browser extensions for popular web browsers

Benefits

  • Be surrounded by experts in their field, passionate and exciting people
  • Stimulating workplace, with the possibility of interacting with Mila's researchers
  • Competitive salary
  • Maintain a work/life balance with our flexible working hours
  • Located at the heart of Little Italy, in the trendy Mile-Ex neighborhood
  • Flexibility on preferred working style (remote and hybrid options available)

We want to know you 

At Mila, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We encourage anyone who wants to work in an ecosystem that is constantly evolving and stimulated to contribute to the application and definition of a healthy and inclusive culture, to apply. Please note that only selected candidates will be contacted.

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Developpeur.se logiciel, Mitigation de la desinformation

Poste temporaire jusqu'au 26 novembre 2026

A propos de Mila 

Fonde par le professeur Yoshua Bengio de l'Universite de Montreal, Mila rassemble des chercheurs specialises en intelligence artificielle et plus precisement en apprentissage automatique, apprentissage profond et apprentissage par renforcement. Reconnu mondialement pour ses importantes contributions au domaine de l'apprentissage profond, Mila s'est particulierement distingue dans la modelisation du langage, la traduction automatique, la reconnaissance d'objets et les modeles generatifs. Depuis 2017, Mila est le fruit d'une collaboration entre l'Universite de Montreal et l'Universite McGill, en lien etroit avec Polytechnique Montreal et HEC Montreal. 

Mila s'est donne pour mission d'etre un pole mondial d'avancees scientifiques qui inspire l'innovation et l'essor de l'intelligence artificielle (IA) au benefice de tous.

Job description

La desinformation est un defi societal critique, particulierement a l'ere de l'IA generative. Au sein de l'equipe d'attenuation de la desinformation du Complex Data Lab, la personne retenue dirigera le developpement de systemes d'attenuation de la desinformation. Elle travaillera avec les membres du corps professoral Reihaneh Rabbany et Jean-Francois Godbout, la chercheuse principale Dorsaf Sallami, ainsi que de nombreuxeuses autres partenaires au sein de l'equipe (plus de 15 specialistes de la recherche), afin de passer des approches developpees en recherche aux tests et a l'actualisation en contexte reel.

Dans ce role, la personne agira principalement en tant que specialiste en genie logiciel, jouant un role cle dans la maintenance, la mise a l'echelle et l'amelioration d'une application Web qui utilise nos systemes d'IA pour aider les usagers et usageres a mieux evaluer la veracite de l'information. Cette plateforme aide le public a evaluer des informations incertaines ou potentiellement trompeuses, a utiliser des modeles de langage (LLM) et d'autres outils d'IA pour evaluer les donnees et recueillir des preuves, puis a fournir cette evaluation sous une forme comprehensible et pratique. La personne responsable du developpement assurera la maintenance, l'extension et l'amelioration des systemes existants de l'arriere-plan (backend), de l'interface (frontend) et de l'infrastructure de deploiement qui soutiennent l'application Web et les outils connexes, y compris une extension de navigateur. Ces systemes seront testes dans des contextes societaux d'importance, comme les elections a venir, et seront ameliores dans le but ultime d'attenuer la desinformation a grande echelle et d'aider grandement la population a porter des jugements plus eclaires.

Responsabilites principales

  • Concevoir, mettre en uvre, assurer la maintenance et mettre a l'echelle les systemes de l'arriere-plan (backend) propulsant la plateforme, en combinant les resultats de recherche et les cadres de travail prets pour le deploiement.
  • Prendre la responsabilite de l'infrastructure de l'arriere-plan et des flux de travail de deploiement, incluant GCP, PostgreSQL, la configuration de l'environnement et la fiabilite de la production.
  • Soutenir et ameliorer les deploiements et les integrations de l'interface (frontend) existants.
  • Assurer la maintenance des pipelines de donnees et du stockage. Conseiller sur la conception globale, notamment sur la faisabilite et l'efficacite des differentes approches, les estimations de couts et les solutions de rechange au besoin.
  • Conseiller les etudiantes chercheures sur les meilleures pratiques et aider a la realisation d'experiences exigeant une ingenierie substantielle.

Qualifications requises

  • Diplome de baccalaureat en informatique ou dans un domaine connexe.
  • Plus de 5 ans d'experience dans la creation de logiciels et d'applications Web a grande echelle.
  • Solide experience avec les cadres de developpement Web tels que Next.js, CSS, HTML5, etc..
  • Fortes competences en LLMOps.
  • Solide connaissance de Python.
  • Experience en gestion de bases de donnees (par ex., Mongo).
  • Experience avec le filage (threading) et la concurrence.
  • Experience avec la conteneurisation.
  • Experience avec les tests et le controle de version.
  • Experience avec les API, les services Web et les conventions RESTful.
  • Maitrise de l'anglais (notre equipe compte de nombreuxeuses partenaires a l'international et l'anglais est la langue de travail).

Qualifications souhaitables

  • Experience avec les API de modeles de langage (LLM) a code source ferme (particulierement OpenAI ; les autres constituent un atout).
  • Experience dans le deploiement de LLM a code source ouvert et ferme.
  • Experience avec les bases de donnees vectorielles et la generation augmentee par recuperation (RAG).
  • Maitrise du moissonnage Web (web scraping).
  • Experience avec GCP ou d'autres plateformes infonuagiques de premier plan.
  • Experience dans le developpement d'extensions pour les navigateurs Web les plus populaires.

Avantages

  • Evoluer au sein d'une communaute de specialistes dans leur domaine, de personnes passionnees et inspirantes.
  • Milieu de travail stimulant, offrant la possibilite d'interagir avec les membres de la recherche de Mila.
  • Salaire concurrentiel.
  • Equilibre entre vie professionnelle et vie personnelle grace a nos horaires de travail flexibles.
  • Bureaux situes au cur de la Petite Italie, dans le quartier branche du Mile-Ex.
  • Flexibilite quant au mode de travail privilegie (options de teletravail et de travail hybride offertes).


Nous voulons vous connaitre 

A Mila, la diversite nous tient a cur. Nous valorisons un environnement de travail equitable, ouvert et respectueux des differences. Nous encourageons toute personne souhaitant uvrer dans un ecosysteme en progression continue et stimulee a contribuer a l'application et la definition d'une culture saine et inclusive, a postuler. Veuillez noter que seules les personnes selectionnees seront contactees.