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Entry Level Computer Science Artificial Intelligence Jobs in Edmonton, AB

City of Edmonton

Criminal Intelligence Analyst

Edmonton, AB · On-site

CA$3.3K - CA$4.2K/wk

Social Sciences or Criminology) with a minimum of two (2) years of related working experience is ... Strong computer skills relevant to crime analysis (Microsoft Office, Analytical Software and GIS ...

The Shoe Co.

The Shoe Co. - Store Manager

Sherwood Park, AB · On-site

CA$47K - CA$53K/yr

Proficiency in computer use, including e-mail, MS Word or other word processing program and Excel ... Use of Artificial Intelligence Some roles may use artificial intelligence-enabled tools to support ...

The Altus Group

Analyst, Cost Planning

Edmonton, AB · On-site +1

CA$60K - CA$70K/yr

Excellent knowledge of Excel, Word, and computer estimating software * Good communication skills ... Use of Artificial Intelligence AI tools may be used to support the initial stages of screening for ...

Sephora

Operations Consultant - Flex

Edmonton, AB · On-site

CA$17 - CA$20/hr

Possess good computer, arithmetic and organizational skills. * Ability to multi-task, while being ... Artificial Intelligence (AI) technologies in our recruitment process to assist in the initial ...

Sephora

Operations Consultant - Flex

Edmonton, AB

Possess good computer, arithmetic and organizational skills. * Ability to multi-task, while being ... Artificial Intelligence (AI) technologies in our recruitment process to assist in the initial ...

KBL Environmental

Project Manager

Leduc, AB · On-site

Post-secondary education in Environmental Engineering, Environmental Science, Construction ... Artificial intelligence (AI) may be used to support the preliminary screening and evaluation of ...

Walmart

(CAN) Relief Pharmacist

Edmonton, AB · On-site

CA$41.60 - CA$55.90/hr

Ability to operate all equipment in the pharmacy (register, computer system etc.). Protect and ... artificial intelligence-powered tools, including internal or third-party developed automated ...

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All JobsComputer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence Jobs in Edmonton, AB

Entry Level Computer Science Artificial Intelligence information

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

What are Entry Level Computer Science Artificial Intelligence jobs?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry-level AI professional in computer science?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Artificial Intelligence professional, and why are they important?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.
What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Edmonton, AB? For Entry Level Computer Science Artificial Intelligence jobs in Edmonton, AB, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Edmonton, AB look for? The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Edmonton, AB are:
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Entry Level Computer Science Artificial Intelligence jobs near you
Postdoctoral Fellow - Multimodal Models and Machine Learning

Postdoctoral Fellow - Multimodal Models and Machine Learning

University of Alberta

Edmonton, AB

Full-time

Re-posted 27 days ago

Job description

This position has an initial appointment of 1 year, with the possibility of renewal.

Location - This role is in-person at North Campus Edmonton.

We invite applications for 2 Postdoctoral Fellow positions in machine learning and artificial intelligence, with a focus on multimodal foundation models and related areas. The successful candidate will join a collaborative research group lead by Dr. Xingyu Li, contribute to ongoing projects, and develop an independent research agenda aligned with the group's broader interests.

Research areas of interest may include, but are not limited to:

  • multimodal foundation models

  • vision-language models and multimodal large language models

  • trustworthy AI, robust generalization, and model evaluation

  • efficient learning, adaptation, and representation design

  • multimodal reasoning and structured understanding

This position offers the opportunity to pursue high-impact research in a fast-moving area of AI, work closely with graduate students, and publish in leading venues. The initial appointment will be for one year, with the possibility of extension for a second year.

The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Metis, Inuit and all FirstPeoples of Canada, whose presence continues to enrich our vibrant community.

The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.

Your work will have a meaningful influence on a fascinating cross-section of people - from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. Learn more.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.

All University employees have a responsibility to foster a workplace that prioritizes safety in all its forms-physical, cultural, and psychological. This is achieved by promoting a safe environment, adhering to all safety laws, policies and procedures, completing all required safety training, identifying hazards and implementing controls, reporting incidents, and contributing to a culture of belonging and respect, while endeavoring to ensure that all colleagues feel valued and safe to express their thoughts, perspectives and concerns.

The University of Alberta is committed to creating a university community where everyone feels valued, barriers to success are removed, and thriving connections are fostered. We welcome applications from all qualified persons. We encourage women, First Nations, Metis and Inuit persons, members of visible minority groups, persons with disabilities, persons of any sexual orientation or gender identity and expression, and all those who may contribute to the further diversification of ideas and the University to apply.

L'Universite de l'Alberta s'engage a creer une communaute universitaire ou chaque personne se sent valorisee, ou les obstacles a la reussite sont elimines et ou des connexions enrichissantes peuvent se developper. Nous accueillons les demandes de toutes les personnes qualifiees. Nous encourageons les femmes; Premieres nations, Metis et Inuits; membres des groupes minoritaires visibles; personnes handicapees; personnes de toute orientation sexuelle ou identite et expression de genre; et toutes les personnes qui peuvent contribuer a la diversification des idees et a l'universite a postuler.
The Faculty of Engineering is one of North America's top engineering schools, known for innovation, collaboration, and impact. It fosters an exceptional student experience through a holistic approach that combines technical excellence with emotional intelligence. With strong community engagement, interdisciplinary research, and a commitment to societal well-being, the faculty prepares students to lead in a rapidly evolving, global engineering landscape.

Required Qualifications

  • PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related discipline by the appointment start date.
  • Strong research record in machine learning, AI, computer vision, NLP, multimodal learning, or related areas.
  • Evidence of high-quality publications in leading conferences and/or journals.
  • Strong coding and experimental skills in modern machine learning frameworks.
  • Excellent written and oral communication skills.

Preferred Qualifications

  • Research experience in multimodal foundation models, trustworthy AI, efficient model design, or multimodal reasoning.
  • Experience mentoring graduate or undergraduate students.
  • Ability to lead independent research projects and collaborate across related areas.

Application Instructions

Click "Apply Now" to submit the following:

  • Curriculum vitae
  • Research plan
  • Cover letter
  • Selected publications
  • Contact information for 2-3 references

This position has a comprehensive benefits package.

The terms and conditions of this appointment are governed by the Collective Agreement between the Board of Governors of the University of Alberta and the Postdoctoral Fellows Association of the University of Alberta.

  • Conduct original research in multimodal foundation models and machine learning.
  • Develop an independent research agenda aligned with the group's interests in trustworthy AI, efficient learning, and multimodal reasoning
  • Publish high-impact work in top-tier conferences and journals.
  • Assist in mentoring graduate students and fostering a collaborative research environment.
  • Contribute to grant writing, project development, and other scholarly activities.

Apply