Top Machine Learning Jobs in Montreal

Lead and mentor a team of applied ML engineers at Cash App, focusing on building explainable ML systems to support decision-making across business teams.

Lead the vision and development of Machine Learning capabilities at Affirm, managing model lifecycles and fostering AI adoption across products and teams.

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

As a Staff Machine Learning Engineer at Coinbase, you will define technical strategies, design ML models for risk assessment, create real-time ML pipelines, and deploy models at scale to optimize operations and enhance user security.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

Lead the Applied Machine Learning team for Cash App, managing ML engineers, developing AI tools, and fostering collaboration on data-driven insights.

As a Staff Machine Learning Engineer, you'll lead ML system strategy for fraud and risk management, use analytics for decision-making, and drive technical solutions across teams.

Design and implement ML models to combat financial crimes, collaborate with stakeholders, and maintain regulatory documentation while leading ML practices.

The Staff Machine Learning Engineer will build ML systems to enhance fraud prevention and risk decisions driving platform improvements and mentoring fellow scientists.

Lead and mentor a team of machine learning engineers to develop and deploy ML models supporting banking and lending services, while driving innovation and best practices.

As a Machine Learning Engineer, you will develop and implement machine learning algorithms, train models, collaborate with product and engineering teams, and guide junior engineers.

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.

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.

Lead the development of ML solutions to enhance user experience at Babylist. Build recommender systems and personalization features from scratch, collaborating with a cross-functional team.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

Develop machine learning models to detect and reduce fraud within Block's ecosystems, while collaborating with various teams to implement solutions.

As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.

Develop scalable machine learning models, collaborate with DevOps and Data teams, create proofs of concept, and ensure high-quality software development.

The role involves building machine learning models to detect risky activities, collaborating with cross-functional teams, and enhancing modeling capabilities. Candidates should have extensive experience in machine learning and strong analytical skills.

Seeking a Senior Staff Machine Learning Engineer to lead AI/ML model design and implementation for fraud detection and risk management, collaborating across teams to enhance security systems.

The Machine Learning Engineer will develop and deploy AI/ML models to enhance security, improve model performance, and respond to new threats in the Coinbase platform. Responsibilities include collaborating with stakeholders and applying advanced ML techniques.

As a Senior Machine Learning Engineer, you will own a risk domain, architect ML systems, mentor engineers, and apply advanced ML methodologies to enhance security measures against fraud and scams.

The Senior Machine Learning Modeler will lead the design and implementation of AI-driven models for forecasting and financial planning, collaborating across teams to create scalable ML architectures and tools for model interpretability.