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Machine Learning Engineer New Grad Jobs in Alberta

Our team includes machine learning engineers, data engineers, developers, and technical architects ... Adopt and communicate new concepts, ideas, techniques, best practices and technology assistance at ...

Our team includes machine learning engineers, data engineers, developers, and technical architects ... Adopt and communicate new concepts, ideas, techniques, best practices and technology assistance at ...

Are you a technically strong and businessoriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a handson engineer with deep ...

Delivery Engineer - Canada

Calgary, AB · On-site

CA$80K - CA$120K/yr

  • Medical

  • PTO

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Work closely with product and engineering teams to ensure seamless integration of new features and ...

... identify new business opportunities while championing data-driven decision-making and the ... As a Machine Learning Specialist on the team, you will combine your expert knowledge of data ...

... turning machine learning models into real product experiences that customers use every day. Your ... You bring a growth mindset to your work - you're comfortable asking questions, learning new ...

Learning how PepsiCo's OneCan approach brings our brands, customers, and sales strategies together ... Across functions, teams, and markets, we collaborate to solve challenges, unlock new opportunities ...

Showing results 21-40

Machine Learning Engineer New Grad information

See Alberta salary details

$26.5K

$109.4K

$202.5K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning engineer new grad in Alberta is $109,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Alberta? For Machine Learning Engineer New Grad jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Alberta look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Alberta are:
What cities in Alberta are hiring for Machine Learning Engineer New Grad jobs? Cities in Alberta with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Alberta as of August 2026, with employment types broken down into 79% Full Time, 9% Part Time, and 12% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $109,405 per year, or $52.6 per hour.

Senior Software Developer

TELUS

Calgary, AB • On-site

Other

Posted 27 days ago


TELUS rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

23rd of 98 rated telecommunications companies


Job description

Join our team and what we'll accomplish together

Ready to create innovative solutions and best practices?

Join a team of passionate technical leaders.

Accelerate cloud adoption by building hardened, ready-to-go patterns on Google Cloud Platform. Embed security, reliability, operational excellence, and cost efficiency as immutable guardrails within cloud-native solutions. Collaborate across the organization to share information, evolve governance controls, and simplify work processes. Our team includes machine learning engineers, data engineers,  developers, and technical architects with diverse technical backgrounds to ensure successful public cloud project outcomes that drive AI innovation across the organization.

As a Software Developer with the AI Accelerator (AIA), your ability to design and build full-stack applications, knowledge of the Google Cloud Platform (GCP), and cloud related CI/CD tools and practices will help drive success. You will leverage your understanding of developing AI-powered applications to partner with delivery teams and internal and external stakeholders to collaborate on scalable, reliable, secure cloud application designs and implementations. You will help define and share reference architectures and best practices across TELUS.

What you will do
  • Design, implement, and maintain robust applications and infrastructure to support the development and deployment of cutting-edge generative AI and machine learning tools for TELUS
  • Evaluate and compare different technical approaches, presenting their trade-offs to the team, to guide architectural decisions for AI projects
  • Design and develop tools, components and processes to support public cloud service intake, CI/CD, and security
  • Lead proof of concept efforts for candidate architectures, products and tools
  • Adopt and communicate new concepts, ideas, techniques, best practices and technology assistance at all organizational levels
  • Assist in the remediation of application stability and performance
  • Work to establish required cloud infrastructures and frameworks
What you bring
  • You have extensive experience with Google Cloud Platform (GCP), or another cloud provider, including application hosting, BigQuery, and serverless computing with tools such as Cloud Functions and Cloud Run
  • You have knowledge of cloud security principles and frameworks, as well as hands-on experience with modern DevOps concepts and workflows
  • You bring strong backend development expertise, particularly in building and integrating REST APIs with frameworks like FastAPI
  • You have practical experience in Python development, especially in data-driven environments and for building scalable applications
  • You have worked with cloud-native technologies such as Docker, Kubernetes, and Terraform for container orchestration and infrastructure as code
  • You are familiar with CI/CD best practices, using tools such as GitHub Actions for managing workflows and Cloud Build to automate deployments and maintain reliability
  • You have a solid understanding of monitoring, alerting, and logging solutions within cloud-native ecosystems
  • You are confident in communicating complex technical ideas to diverse audiences, including developers, business stakeholders, and senior leadership
  • You have development experience with Python and/or JavaScript/Typescript
  • You keep up with the latest advancements in ML and GenAI technology and are excited to explore new techniques and technologies

Great-to-Haves

  • Advanced expertise with GCP services, particularly Google Kubernetes Engine (GKE) and BigQuery optimization
  • Familiarity with frontend frameworks like React.js for building full-stack applications
  • A background in using Python for data engineering, machine learning, or generative AI workflow


Advanced knowledge of English is required because you will most of the time interact in English with external parties (clients, suppliers, candidates, external partners, etc.); interact in English with internal parties (colleagues, internal partners, stakeholders, etc.); and work with IT tools whose interface is only accessible in English as part of this position's main responsibilities given its international scope.


What TELUS employees say

Pay

Hours and flexibility

Workplace

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