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Junior Machine Learning Engineer Jobs in Calgary, AB

Problem-solve geoscience challenges using advanced machine learning and AI technologies, including ... Programming and use of tools related to our area of practice such as: Python, PyTorch. * Experience ...

New

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

We're hiring a Senior AI/ML Developer to help Information Services evaluate, shape, and enable the ... Develop and deploy AI and machine learning solutions using modern development and MLOps practices ...

Data Scientist

Calgary, AB · On-site +1

CA$90K - CA$120K/yr

Machine Learning/Predictive Modeling * Works with stakeholders throughout the organization to ... Consults with Data Engineer to create and improve data assets and pipelines that improve the ...

New

The Team: We're looking for a Senior Data Engineer to lead the technical implementation of our next ... Experience supporting forecasting, optimization, machine learning, or analytical systems. * Cloud ...

The Team: We're looking for a Senior Data Engineer to lead the technical implementation of our next ... Experience supporting forecasting, optimization, machine learning, or analytical systems. * Cloud ...

Systems Developer Company Overview Stream Systems (www.streamsystems.ca) is a leading-edge ... Our SimOpti intelligence platform brings AI, machine learning and simulation to power business ...

Showing results 41-60

Junior Machine Learning Engineer information

See Calgary, AB salary details

$26K

$119.2K

$207.5K

How much do junior machine learning engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for junior machine learning engineer in Calgary, AB is $119,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $149,000.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning Engineer jobs in Calgary, AB?

The most popular types of Machine Learning Engineer jobs in Calgary, AB are:

What are popular job titles related to Junior Machine Learning Engineer jobs in Calgary, AB?

For Junior Machine Learning Engineer jobs in Calgary, AB, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning Engineer jobs in Calgary, AB look for?

The top searched job categories for Junior Machine Learning Engineer jobs in Calgary, AB are:

Infographic showing various Junior Machine Learning Engineer job openings in Calgary, AB as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $119,158 per year, or $57.3 per hour.

Senior Robotics Software Developer

Calgary, AB • On-site

Full-time

Medical, Dental, Vision

Re-posted 23 days ago


Key responsibilities

  • Lead the development and extension of robotic simulators to mirror production environments.

  • Develop and optimize motion planning, collision checking, and trajectory behaviors using ROS 2 / MoveIt2.

  • Implement perception components such as object detection, pose estimation, and point-cloud processing for material handling and inspection.


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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