ZipRecruiter

Log In

1

Internship Graduate Machine Learning Jobs in Alberta

DataVisor

Delivery Engineer - Canada

Calgary, AB

CA$80K - CA$120K/yr

Exposure to real-time computing, big data technologies, or machine learning through coursework, internships, or project experience is a plus. Benefits 1. Health Insurance, PTO, stock option 2. The ...

Hubbell Incorporated

Sr Research Engineer

Edmonton, AB · On-site

Research activities span sensors, controls, communications, analytics (including machine learning ... Understanding of information theory (e.g. an undergraduate or graduate course or work experience ...

Clio

Data Scientist

Calgary, AB · Hybrid

CA$131K - CA$150K/yr

Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product ... A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics ...

Enfinite

Junior Engineer (EIT)

Calgary, AB · On-site

This role is ideal for a recent engineering graduate who enjoys working with data, improving ... and learning how operational decisions are supported through data. * Co-op, internship, or ...

Enfinite

Junior Engineer (EIT)

Calgary, AB

This role is ideal for a recent engineering graduate who enjoys working with data, improving ... and learning how operational decisions are supported through data. * Co-op, internship, or ...

Capital Power

Compliance Intern

Calgary, AB · On-site +1

Recent graduate or graduating within the last year. * Education equivalency may be considered ... Prior internship, co-op, or academic experience in compliance, risk management, energy markets ...

All JobsInternship Graduate Machine Learning JobsInternship Graduate Machine Learning Jobs in Alberta

Internship Graduate Machine Learning information

What is the difference between Internship Graduate Machine Learning vs Data Analyst?

AspectInternship Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; basic knowledge of programming and statisticsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, research labs, startups; project-based, collaborative teamsBusiness, finance, marketing sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech, AI, and research industries for developing machine learning modelsCommon in corporate, finance, and consulting firms for data-driven decision making

While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.

What are the key skills and qualifications needed to thrive as an Internship Graduate in Machine Learning, and why are they important?

To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.

What are Internship Graduate Machine Learning positions?

Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.

What types of projects do Internship Graduate Machine Learning roles typically involve, and how are responsibilities structured within the team?

Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.
What are popular job titles related to Internship Graduate Machine Learning jobs in Alberta? For Internship Graduate Machine Learning jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Internship Graduate Machine Learning jobs in Alberta look for? The top searched job categories for Internship Graduate Machine Learning jobs in Alberta are:
What cities in Alberta are hiring for Internship Graduate Machine Learning jobs? Cities in Alberta with the most Internship Graduate Machine Learning job openings:
Internship Graduate Machine Learning jobs near you
Postdoctoral Fellow - Multimodal Models and Machine Learning

Postdoctoral Fellow - Multimodal Models and Machine Learning

University of Alberta

Edmonton, AB

Full-time

Posted 20 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