Machine Learning Engineer Jobs in Alberta (NOW HIRING)

Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world’s largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions.

You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide.

Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable but can develop on the job.

Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use.

Teams build software for domains such as:

• Geoscience — geology, geophysics, or petrophysics
• Drilling engineering and well planning
• Reservoir engineering and modeling
• Production engineering and optimization
• E&P data management and integration
• Cloud and platform infrastructure, data services, and developer tooling
• AI-assisted analytics, search, and generative AI

Technologies used vary by team and include:

• Languages such as Java, C#, F#, C++, Python, and TypeScript
• Frameworks, platforms, and runtimes such as .NET, Angular, React, and Node.js
• Cloud platforms including Azure and AWS
• Containerization and orchestration tooling such as Docker and Kubernetes
• Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux
• Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB

• Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it
• Break complex specifications into concrete tasks with realistic schedules and flag risks early
• Proactively identify and fix weaknesses in the codebase, the test coverage, and the development process
• Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place
• Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise
• Review code from other engineers with the same rigor you expect on your own work
• Evaluate and integrate open-source tools and libraries where they improve the systems you work on
• Mentor junior engineers through code reviews, pairing, and direct technical guidance

• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience
• 5–10 years of software development experience
• Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js)
• Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery
• Experience debugging production software and tracing root causes that span multiple components or layers
• Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders

• Experience with cloud-native development, full-stack or web application development, or data platform technologies
• Experience with CI/CD pipelines, containerization, and infrastructure automation
• Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data)
• Exposure to integrating machine learning, generative AI, or LLM-based components into application features
• Experience mentoring less experienced engineers

Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list.

Candidates with qualifications exceeding the minimum job requirements will be considered for higher-level positions based on their experience, additional job requirements, and current business needs. Depending on their education, experience, and skill level, candidates may be eligible for a range of job opportunities, including Principal Technical Professional and Technical Professional Advisor.

The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time.

We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on.

We offer competitive compensation, a strong career path, and a role where you own what you build, and your impact is visible.