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Machine Learning Research Intern Jobs in Alberta

BSc, MSc, or PhD in machine learning or a related specialty in data science, a quantitative science, mathematics, computer science. * 7+ years of experience research and development in machine ...

... Research, or related quantitative discipline. * 3+ years of experience in Data Science, advanced analytics, machine learning, forecasting, or related analytical roles. * Experience developing ...

... Research, or related quantitative discipline. * 3+ years of experience in Data Science, advanced analytics, machine learning, forecasting, or related analytical roles. * Experience developing ...

... Research, or related quantitative discipline. * 3+ years of experience in Data Science, advanced analytics, machine learning, forecasting, or related analytical roles. * Experience developing ...

... machine learning, spatial computing, and large-scale data infrastructure. You will build the models, pipelines, and inference services that make spatial intelligence operational: not research ...

Conduct market research and compile comparable debt terms * Coordinate with lenders and clients on ... Passionate about learning and ready to tackle challenges in a professional environment. * Must be ...

Intern

Edmonton, AB ยท On-site

Conduct market research and compile comparable debt terms * Coordinate with lenders and clients on ... Passionate about learning and ready to tackle challenges in a professional environment. * Must be ...

Showing results 21-40

Machine Learning Research Intern information

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in Alberta?

For Machine Learning Research Intern jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Machine Learning Research Intern jobs in Alberta look for?

The top searched job categories for Machine Learning Research Intern jobs in Alberta are:

Infographic showing various Machine Learning Research Intern job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Scientist

Calgary, AB โ€ข Hybrid

Full-time

Posted 24 days ago


Key responsibilities

  • Solve geoscience challenges by developing and optimizing AI/ML algorithms, including Large Language Models, to address customer workflows.

  • Lead data acquisition, analyze data integrity, and develop data cleaning strategies to prepare datasets for model development.

  • Analyze user challenges and workflows to design, maintain, and deploy innovative machine learning applications.


Job description

About the roleย 

You will be part of Seequent Labs, a research, prototyping, and data science team with a culture of experimentation and customer engagement. As a Senior Data Scientist, you will contribute to a multi-disciplinary team with your expertise in generative AI, agentic AI, machine learning and data though novel and creative applications in subsurface modelling. Our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and clustering, reinforcement learning.

In this role, you will have the opportunity to:ย 

Technical Skills and Problem-Solving

  • Problem-solve geoscience challenges using advanced machine learning and AI technologies, including Large Language Models (LLMs).
  • Develop and optimize AI/ML algorithms using accepted best practices, rigorously assessing model performance and resilience.
  • Deliver high-quality, user-friendly prototypes and integrated algorithms that directly address customer needs and workflows.

Data Management

  • Lead data acquisition efforts from various sources while rigorously analyzing data integrity and quality.
  • Develop comprehensive data cleaning strategies and prepare robust training datasets for model development.

Research and Development

  • Analyze user challenges and workflows to deeply integrate into all aspects of designing, maintaining, and deploying innovative ML applications.
  • Maintain a technological watch over the AI/ML landscape, staying up-to-date with relevant scientific literature and research.

Communication and Collaboration

  • Prepare and present compelling reports on results to peers, internal stakeholders, and end-users.
  • Collaborate and share knowledge to actively grow the AI team's capabilities and find efficient, intuitive ways to communicate complex data.

Professional Growth and Contribution

  • Expand the organization's overall capability in the AI space while actively learning workflows in subsurface modeling (geomodeling, geophysics, geostatistics).

To be successful in this role, you should have:ย 

  • BSc, MSc, or PhD in machine learning or a related specialty in data science, a quantitative science, mathematics, computer science.
  • 7+ years of experience research and development in machine learning - including deep learning and advanced techniques.
  • Experience using large language models.
  • Experience with LangChain and LangGraph.
  • Experience with complex orchestration of agentic solutions.
  • Experience with AI models for solving problems related to imagery, GIS and or 3D data e.g. point cloud and meshes is preferred.
  • Commercial software development experience is preferred.
  • Experience working with cloud-based data solutions.
  • Programming and use of tools related to our area of practice such as: Python, PyTorch.
  • Experience using modern data plotting libraries (D3, plotly).

The ideal candidate will also possess the following qualities:

  • Outstanding interpersonal skills to cultivate and sustain strong, collaborative partnerships across teams.
  • Proven ability to rapidly deep-dive into unfamiliar topics, synthesize information, and master new concepts with speed.
  • A persistent, solution-oriented mindset with a genuine enthusiasm for tackling complex problems and continuous learning.

Additional Information

This is a hybrid position, and you are required to be in the Calgary office two days a week.

Seequent is a global company, and flexibility in working hours may be required to accommodate work across different time zones.

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