As a Reinforcement Learning Analyst with the Department of National Defence, you will develop and implement advanced machine learning algorithms that enable systems to learn and improve through interaction with their environment. You will work at the cutting edge of artificial intelligence research, applying reinforcement learning techniques to solve complex defence and security challenges. Your work will directly support DND's modernization initiatives and contribute to Canada's technological advantage.
Your responsibilities will include designing and testing reinforcement learning models, analyzing their performance, and translating research findings into practical applications. You will collaborate with cross-functional teams including data scientists, software engineers, and subject matter experts to ensure solutions meet operational requirements. You may work on diverse projects ranging from autonomous systems optimization to decision support tools and tactical simulations.
You will work in a dynamic research and development environment, often in collaboration with other government departments, academic institutions, and industry partners. This role offers opportunities to contribute to meaningful defence initiatives while staying current with rapidly evolving AI technologies and methodologies.
Key Responsibilities
Contribute to artificial intelligence (ai) research & modeling projects and initiatives, Develop, test, and deploy AI/ML models and solutions, Analyze data to support evidence-based decision-making, Document technical approaches and ensure responsible AI practices
Required Skills
Python/R programming, Machine learning frameworks, Data analysis, Statistical modelling, Critical thinking, Technical proficiency, Attention to detail, Collaboration, Continuous learning
Typical Education
Post-secondary education or equivalent experience relevant to the position
Training
Minimum qualifications typically include a bachelor's degree in computer science, mathematics, engineering, physics, or a related field with coursework in machine learning, algorithms, and statistical analysis. Many positions prefer or require a master's degree in artificial intelligence, machine learning, computer science, or a closely related discipline.
Essential technical skills include proficiency in programming languages such as Python or C++, experience with machine learning frameworks and libraries, and a solid understanding of mathematical foundations including linear algebra, probability, and calculus. Knowledge of reinforcement learning algorithms, neural networks, and computational methods is critical.
The Government of Canada provides ongoing professional development opportunities including access to specialized AI and machine learning courses, certification programs, and conferences. DND supports employees pursuing advanced credentials and encourages participation in research communities and professional associations such as the Canadian AI Association and international machine learning societies. Internal training programs help you develop security clearances and familiarize yourself with defence-specific applications and systems.
Entry Plans
Entry to this career typically occurs through open Public Service competitions advertised on the Government of Canada Job Bank and the DND careers website. Positions are usually at the CS-03 or CS-04 level for recent graduates or those with limited experience, with progression to CS-05 and beyond based on experience and performance.
The Government of Canada's Post-Secondary Recruitment Campaign and Co-op/Student Work Programs provide pathways for undergraduate and graduate students to gain experience and transition into permanent roles. These programs allow you to apply your academic knowledge to real defence challenges while earning competitive compensation.
Lateral transfers from other federal departments or movements from related positions within DND are also common entry points. If you hold an existing federal appointment in a related field such as data science, software development, or defence research, you may be able to transition into this role through internal staffing processes.
You may also enter through specialized recruitment initiatives focused on AI and emerging technology talent, which DND uses to attract highly qualified candidates. Some positions may require security clearance eligibility or the ability to obtain a Top Secret clearance, which the government will support during the hiring process.
Part-Time Options
Part-time opportunities in reinforcement learning analyst roles are limited but may be available depending on project needs and organizational requirements. Most positions are full-time, as research and development work typically benefits from sustained engagement and continuity.
Flexible work arrangements, including hybrid and remote options, are increasingly available within DND's AI research teams, particularly for analytical and development work that does not require on-site laboratory equipment or classified facility access. Telework eligibility depends on security requirements, project classification level, and management approval.
Contractual and term-based positions may offer more scheduling flexibility than permanent roles. If you require part-time or flexible arrangements, discuss these possibilities during the hiring process, as they can often be accommodated on a case-by-case basis depending on the specific position and business requirements.
Related Careers
No related military careers on file for this position.
