Top Machine Learning Jobs in Montreal

Lead a team of ML engineers to develop and improve fraud detection models, defining strategies and fostering collaboration across functions to ensure effective model integration.

As a Staff ML Engineer, you'll design and operate Samsara's ML platform, partnering with teams to deliver scalable ML solutions that enhance safety and efficiency in physical operations.

The Machine Learning Engineer will design, develop, and optimize machine learning models, ensure their lifecycle management, and collaborate with stakeholders to address business needs effectively.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.

As a Senior Machine Learning Engineer, you'll lead ML initiatives to enhance player engagement, build scalable pipelines, and mentor engineering teams, ensuring optimized deployment and performance of ML solutions.

Lead the development of fraud prediction models, build feature pipelines, prototype modeling ideas, and productionize models while collaborating with cross-functional teams.

Lead Machine Learning Engineer responsible for setting technical vision, guiding teams, architecting solutions, and overseeing project delivery on Google Cloud. Requires strong ML fundamentals and excellent communication skills.

Design and develop scalable AI/ML solutions. Analyze and optimize models, conduct data analysis, and communicate findings. Mentor team members and maintain best practices in model deployment.

The Senior Machine Learning Engineer will design, build, and deploy AI agents, advance ML systems, and mentor junior engineers.

As a Software Engineering Intern, you'll develop features for user-facing products, work on API platforms, and design data pipelines while gaining hands-on experience in AI technologies.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

Lead a team of machine learning scientists, develop AI systems for complex business problems, and drive innovation in AI methodologies. Ensure compliance and foster a collaborative work environment.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

Lead the development and improvement of fraud prediction models using machine learning techniques, collaborating with various teams to ensure model effectiveness and operational robustness.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

The Senior Staff Machine Learning Engineer will lead the design and scaling of advanced ML systems, mentor engineers, and define technical strategy across Affirm.

The Senior Applied AI/ML Scientist will lead customer-centric AI/ML feature development, collaborate with stakeholders, and deliver impactful solutions that improve business outcomes and customer experiences.

Develop and enhance machine learning systems for fraud detection, build pipelines, prototype models, ensure model health, and collaborate with cross-functional teams.

As a Senior Machine Learning Engineer, you'll design and develop AI systems, focusing on LLMs and improving agent performance while mentoring engineers.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

As a Senior Machine Learning Engineer, you'll develop ML solutions, design APIs, maintain data pipelines, and collaborate with teams for optimal performance and innovation.

The Applied Scientist will transform raw data into actionable insights by developing machine learning models for personalization, ranking, and optimization to enhance conversion and revenue. This role emphasizes building production systems, frameworks for experimentation, and communication with team members regarding technical challenges.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

The role involves developing ML models for ranking and generative AI, collaborating with cross-functional teams, improving data processing pipelines, mentoring engineers, and ensuring software quality in machine learning applications.