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Machine Learning Engineer New Grad Jobs in Alberta

ALS

Geodata Scientist

Calgary, AB · Remote

... evaluating and implementing new ML methodologies and workflow improvements. Specific ... Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification ...

Revsolz Corp

Technical Sales Representative

Calgary, AB · On-site

... engineering, cloud computing, artificial intelligence, and machine learning. If you are excited ... Meet and exceed targets - Achieve monthly and quarterly individual and team goals for new customer ...

Hubbell Incorporated

Sr Research Engineer

Edmonton, AB · On-site

Research activities span sensors, controls, communications, analytics (including machine learning ... Investigate and evaluate new technologies, methodologies, and approaches without requiring direct ...

PwC

AI & Advanced Analytics, Senior Manager

Calgary, AB · On-site

CA$168K - CA$218K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Royal Bank of Canada

Principal AI Engineer

Calgary, AB · On-site

... in machine learning, has access to rich and massive datasets, and offers the computational ... Expand your limits and create a new future together at RBC. Find out how we use our passion and ...

TELUS

Data Scientist

Edmonton, AB

Data Architecture & Engineering: Design and build robust data pipelines and architectures on Google ... Conduct in-depth exploratory data analysis and apply statistical methods, machine learning ...

TELUS

Data Scientist

Calgary, AB · On-site

Data Architecture & Engineering: Design and build robust data pipelines and architectures on Google ... Conduct in-depth exploratory data analysis and apply statistical methods, machine learning ...

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

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 ...

Halliburton

Software Engineer - Landmark

Calgary, AB

Exposure to integrating machine learning, generative AI, or LLM-based components into application ... You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that ...

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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 Jul 22, 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 job?

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:
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Machine Learning Engineer New Grad jobs near you

AI Security Principal Engineer - AI Red Team (Enterprise)

C-Serv

Calgary, AB • On-site

Full-time

Medical, Life

Posted 11 days ago

Job description

The Opportunity

We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations.

This is not a theoretical research role, production experience is a must.

This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance.

If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that.

What You’ll Do
  • Design and lead adversarial testing of LLM and AI-driven systems
  • Conduct threat modelling across model, infrastructure and data layers
  • Execute and oversee testing for:
  • Prompt injection
  • Jailbreaking
  • Model exploitation
  • Data leakage / extraction
  • RAG system manipulation
  • Translate findings into structured, audit-ready documentation
  • Map vulnerabilities and remediation pathways to:
  • ISO 27001 controls
  • SOC 2 Trust Service Criteria
  • ISO 27701 privacy controls
  • ISO 27017 cloud security controls
  • Partner closely with engineering, security, and compliance functions
  • Present findings clearly to executive leadership

This role ensures AI security findings integrated into enterprise governance frameworks.

Requirements

What We’re Looking ForCore Technical Depth
  • Strong understanding of adversarial machine learning
  • Experience red teaming LLM or AI systems
  • Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
  • Strong Python proficiency
Enterprise Security & Governance Fluency
  • Experience working within ISO 27001 environments
  • Practical knowledge of SOC 2 Trust Service Criteria
  • Understanding of ISO 27701 privacy extensions
  • Familiarity with ISO 27017 cloud security controls
  • Ability to map technical findings to control frameworks
Communication & Documentation
  • Ability to produce clear, structured, audit-friendly documentation
  • Comfortable presenting technical risk to executive audiences
  • Strong written and verbal communication skills
Who You Are
  • Systems thinker
  • Curious and adversarial in mindset
  • Comfortable identifying uncomfortable truths
  • Autonomous and fast-moving
  • Enterprise-aware, not just technically strong
  • Able to operate independently under executive leadership

You understand that security is about both breaking systems and integrating findings into operational and compliance posture.

Benefits

  • Comprehensive Private Medical Coverage
  • Support for Mental Health Expenses
  • Life Insurance Options
  • Attractive Compensation Package