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Deep Learning Research Intern Jobs in Alberta (NOW HIRING)

BBA, Inc.

Junior Advisor, Asset Analytics

Edmonton, AB · On-site

... deep learning and artificial intelligence techniques * Engage in hands-on consulting work, including data analysis, research, stakeholder interviews and preparation of final deliverables * Delivery ...

BBA, Inc.

Junior Advisor, Asset Analytics

Calgary, AB · On-site

... deep learning and artificial intelligence techniques * Engage in hands-on consulting work, including data analysis, research, stakeholder interviews and preparation of final deliverables * Delivery ...

BBA, Inc.

Junior Advisor, Asset Analytics

Calgary, AB

... deep learning and artificial intelligence techniques * Engage in hands-on consulting work, including data analysis, research, stakeholder interviews and preparation of final deliverables * Delivery ...

Spgi

Senior Data Scientist

Calgary, AB

CA$90K - CA$160K/yr

Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers ... Ability to perform independent research and synthesize current AI/ML research, with a track record ...

Spgi

Senior Data Scientist

Calgary, AB · On-site

CA$90K - CA$160K/yr

Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers ... Ability to perform independent research and synthesize current AI/ML research, with a track record ...

S&P Global

Senior Data Scientist

Calgary, AB · On-site

CA$90K - CA$160K/yr

Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers ... Ability to perform independent research and synthesize current AI/ML research, with a track record ...

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Showing results 21-40

All JobsDeep Learning Research Intern JobsDeep Learning Research Intern Jobs in Alberta

Deep Learning Research Intern information

See Alberta salary details

$18.5K

$147.3K

$398K

How much do deep learning research intern jobs pay per year?

As of Aug 20, 2026, the average yearly pay for deep learning research intern in Alberta is $147,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $193,500.00 per year, depending on experience, location, and employer.

What does a deep learning research intern do?

A Deep Learning Research Intern assists in the development and experimentation of machine learning models, particularly neural networks, to solve complex problems in fields like computer vision, natural language processing, or robotics. They typically work under the guidance of experienced researchers, contributing to tasks such as data preprocessing, model training, and result analysis. Interns may also help implement and optimize algorithms, read and summarize research papers, and prepare reports or presentations on their findings. This role provides hands-on experience with state-of-the-art AI technologies and research methodologies.

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

To thrive as a Deep Learning Research Intern, you need a strong grasp of machine learning fundamentals, programming skills (especially in Python), and a background in mathematics or computer science, often supported by relevant coursework or research experience. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and proficiency in using data processing and visualization tools are typically expected. Creativity, problem-solving abilities, and effective communication help interns contribute novel ideas and collaborate within research teams. These skills are vital for developing, testing, and presenting cutting-edge AI models and solutions in a fast-evolving field.

What are some common challenges faced by deep learning research interns, and how can they overcome them?

Deep Learning Research Interns often encounter challenges such as managing complex datasets, tuning neural network architectures, and keeping up with the latest research developments. It's common to spend significant time troubleshooting code or optimizing models for better performance. Collaborating closely with mentors and team members, actively participating in research discussions, and consistently reading recent papers can help interns overcome these hurdles. Utilizing open-source tools and frameworks, along with clear documentation practices, also streamlines the research process.

What cities in Alberta are hiring for Deep Learning Research Intern jobs?

Cities in Alberta with the most Deep Learning Research Intern job openings:

Deep Learning Research Intern jobs near you

Senior Robotics Software Developer

Promise Robotics

Calgary, AB • On-site

Full-time

Medical, Dental, Vision

Posted 28 days ago

Job description

Promise Robotics is pioneering Physical AI for homebuilding - a rapidly growing, venture-backed company bringing together AI, robotics, and manufacturing to help the homebuilding industry meet the growing demand for housing. Our robotic systems, built and operated inside  AI-powered factories, give the industry the production capacity, consistency, and speed to build more high-quality homes than traditional methods allow. Our team spans AI researchers and roboticists to factory operators, technicians, and production teams - all building the future of homebuilding together. 

We're building physical AI for housing - and unlike most of the field, our robots are already in production, fabricating real structures and generating real operational data every day across multiple factories. 

We're looking for a Senior Robotics Software Developer to join our team and contribute to developing cutting-edge solutions for our core robotic manufacturing technologies. This is a senior IC role with architectural ownership and mentorship responsibility. 

Why join us?

  • Purpose-Driven Work:Contribute to projects with significant social, economic, and environmental impact. 

  • Growth Opportunities:Be part of a growth-stage startup with substantial upside and leadership potential. 

  • Cutting-Edge Technology:Work on state-of-the-art robotics solutions at the intersection of construction and automation. 

  • Collaborative Culture:Join a diverse, high-performing team committed to continuous learning and innovation. 

What you'll do:

  • Lead the development of robotic simulators  - set up and extend simulation environments and test scenarios that mirror our production cells. 

  • Lead the effort in motion planning and optimization - develop and optimize motion-planning and collision-checking behaviors in ROS 2 / MoveIt2. 

  • Develop perception components - implement object detection, pose estimation, and point-cloud processing tasks for material handling and inspection. 

  • Write clean, tested code - produce well-documented C++ and Python, backed by unit and integration tests.  

  • Debug integration issues - help troubleshoot software-hardware issues alongside the robotics and hardware teams. 

  • Set the engineering bar - define standards for architecture, testing, and code quality; lead code reviews; mentor junior and mid-level developers. 

What you'll need to succeed:

  • Degree in Computer Science, Robotics, Mechatronics, or related fields (Masters/Ph.D. preferred) plus 5+ years of relevant robotics software experience. 

  • Expert-level C++ and Python, with a track record of shipping production-quality robotics software. 

  • Strong fundamentals in algorithms, data structures, and basic control concepts. 

  • Deep ROS 2 and MoveIt2 experience - motion planning, collision checking, and trajectory optimization (e.g., OMPL, CHOMP/STOMP/TrajOpt-style approaches). 

  • Ability to solve complex problems involving multi-disciplinary engineering concepts. 

  • Strong hands-on experience with a robotics simulator (Gazebo, Isaac Sim, MuJoCo, or similar) including physics simulation. 

  • Exposure to computer vision or perception concepts.  

  • Eagerness to learn, take feedback, and work both independently and collaboratively in a fast-paced startup.  

  • Willingness to work onsite at our R&D labs and production facilities in Edmonton and Calgary, Alberta. 

Preferred Skills: 

  • Experiential knowledge using Isaac Sim / Omniverse or similar simulation tools.  

  • Applied or research experience with vision-language-action (VLA) models (e.g., OpenVLA, 0, RT-2-style) or LLM-based task and motion planning.  

  • Industrial robot programming (KUKA, ABB, or Fanuc) and familiarity with vendor sensor/communication interfaces.  

  • Sensor systems: industrial cameras, depth sensors, LiDAR, force/torque sensors, laser range finders/projectors.  

  • Digital-twin technologies for validation and predictive maintenance.  

  • Machine learning / deep learning applied to robotics.  

  • Working knowledge of CSA Z434 and ISO 10218-2 safety standards for industrial robot systems and cell integration.  

  • Experience in a fast-paced startup or scaling deep-tech environment. 

Benefits:
Competitive salary: we believe in data-driven, equitable compensation decisions. We recently completed a compensation review and implemented salary bands that enable us to pay mid to above-average Canadian salaries across various industries.
Stock options: everyone has a stake in our company.
Holistic benefits: we have a comprehensive benefits package that includes paramedical, dental, vision, and drug coverage for you and your dependents, as well as a health care spending account. These benefits start right from Day 1.
Flexible personal days and vacation policies: we care deeply about the well-being of our team.
Open, collaborative, and supportive culture: you will be part of an incredibly high-performing and collaborative team changing the future of an industry!
Relocation assistance package (if required)
 
 
Promise Robotics is proud to be an equal-opportunity workplace. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, and gender identity.
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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