Top Machine Learning Jobs in Montreal

Lead modeling projects to enhance customer engagement. Build and optimize machine learning models, mentor junior scientists, and communicate findings to stakeholders.

Lead end-to-end personalization initiatives: define problems, build and deploy machine learning and statistical models for recommendations and layout optimization, integrate scalable solutions with engineering and product, monitor performance, communicate insights to stakeholders, and mentor junior data scientists.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

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 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.

The role involves developing machine learning solutions, data transformation, analytical recommendations, cross-functional collaboration, and providing technical leadership.

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.

As a Senior Machine Learning Engineer, you will develop ML/AI applications, enhance operational safety and efficiency, and collaborate with various teams on innovative projects.

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.

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.

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 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.

As a Staff Machine Learning Engineer, you will optimize Quora's ad products by applying machine learning algorithms, taking ownership of systems, and collaborating across 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 design, implementation, and optimization of large-scale ML models and recommender systems for ad-tech and mobile gaming. Oversee end-to-end data science projects, deploy production DNNs, build A/B testing frameworks, mentor junior staff, and collaborate with Product, Marketing, and Engineering to drive user personalization and monetization.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

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

Design, implement, and maintain large-scale user-understanding models to improve ad ranking, conversion prediction, and recommendations; monitor model quality, address data drift, and collaborate on long-term team direction while communicating technical concepts to non-technical stakeholders.

The role involves building scalable ML models, mentoring engineers, translating business requirements into specs, and ensuring solutions meet performance constraints.

Develop scalable machine learning models, collaborate with teams, create proofs of concepts, and write maintainable code while engaging in the entire ML development cycle.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

The Senior Machine Learning Engineer will implement and optimize AI models, build scalable ML pipelines, integrate AI into SaaS systems, and ensure high reliability and performance in production environments.

The AI/ML Architect will design scalable AI and ML solutions, lead technical teams, evaluate technologies, and ensure high-quality project delivery across the organization.