About the role

The machine learning engineer is a senior member of Lockheed Martin Canada's Artificial Intelligence and Machine Learning team and reports to the AI/ML Program Manager. Their primary responsibility is to develop core technologies and approaches to train and deploy proprietary AI models that underpin our flagship products. This includes designing and building robust data pipelines, selecting and tuning machine learning algorithms, and creating scalable model deployment workflows that integrate seamlessly with existing software stacks.

The role requires a minimum of two days per week in the office to collaborate with cross-functional stakeholders such as data scientists, software architects, and DevOps engineers to ensure AI solutions meet both technical and operational requirements. The engineer will also take on expanded assignments to grow our business across departments, such as supporting internal R&D, establishing best practices and guidelines for users, and contributing to process and tool improvements to support organizational excellence.

Beyond core development work, the candidate will monitor model performance in production, implement continuous learning pipelines, and provide technical guidance to team members. This position offers a unique opportunity to shape AI strategy at Lockheed Martin while working in a collaborative, dynamic environment that values innovation and cross-functional teamwork.

What you bring to the role

Bachelor's degree from a recognized university in Computer Science, Software Engineering, Mathematics, Electrical Engineering, or a related engineering discipline
Relevant professional experience of approximately 5 to 10 years
Experience building machine learning models with Python
Experience applying applied mathematics and statistical analysis in Python (backpropagation, activation functions, cost function optimization)
Experience applying data science methodologies (feature extraction, synthetic data generation, feature-space reduction)
Expert knowledge of machine learning models, including neural network architectures (RNNs, CNNs), support vector machines, trees, regression, etc.
Ability to define and apply novel and creative solutions to complex ML problems
Experience developing end-to-end MLOps pipelines including training, testing, validation, data collection and processing
Ability to communicate complex ideas and solutions effectively to technical and non-technical audiences
Ability to work independently and to drive collaborative projects within direct and cross-functional teams
Adaptability to perform in a dynamic environment
Experience converting real-world systems, behaviors, and decision factors into mathematical and ML models that support realistic simulation and prediction
Ability to design, evaluate, and measure AI model performance using the scientific method
Capability and aptitude to conduct scholarly research to stay current with advances in AI and related technologies
Deep understanding of ML libraries (NumPy, Pandas, CUDA, PyTorch)
Ability to work in secure, restricted networks (e.g., without Internet access or certain open-source libraries)
Ability to obtain NATO Secret security clearance in a timely manner

Additional desired skills

Experience with air-gapped / isolated networks
Experience working in the defense industry
Familiarity with Rust, C++, Java
Basic understanding of Kubernetes, software stacks, and cloud computing
Experience with Git and Git workflows
Experience using generative AI tools for code development
Proven experience working in a multidisciplinary, fast-paced team environment

Language requirements (Québec)

English language proficiency is required for this role so the candidate can perform all duties. The position requires daily communication with a virtual team outside Québec and with various organization members, clients and suppliers located outside Canada. For engineering roles, the candidate must also be able to read or edit technical documents from key clients and produce technical documentation for those clients.

What we offer

We deliver on work/life balance. Your physical, mental and financial well-being matter to us. In addition to a supportive, friendly and respectful environment, here is what you can expect as a full-time regular employee:

Flexible and compressed work schedules, including the possibility to take Fridays off and part-time remote work
Competitive compensation
Time to recharge with vacation, personal days, statutory holidays and parental leave
Comprehensive family medical, dental and vision coverage effective from day one, including:
- Virtual health care (24/7 access to health professionals)
- Wellness spending account
- Employee and Family Assistance Program (EFAP) with free in-person counselling sessions
- Travel medical insurance
- On-site fitness facilities at our main offices
Registered retirement savings plan with employer matching contributions from day one and access to financial advisors
Employee discounts on goods, services and recreational activities
Access to a wide range of development tools to build skills and advance careers: free learning resources via a modern platform, education assistance, professional membership reimbursement, and self-directed mentoring

Pay transparency

At Lockheed Martin Canada, we comply with pay transparency requirements and believe publishing pay ranges for vacancies promotes a fairer workforce.

Salary range

$99,500 - $130,500

Security requirement

Required security clearance: NATO Secret. The role is also associated with the Controlled Goods Program.

Principal Machine Learning Engineer