Top Machine Learning Jobs in Montreal

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

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.

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.

The Senior C++ Programmer for Machine Learning will develop ML applications, support systems based on business goals, and collaborate with data science and gameplay teams.

Design and implement ML and analytic solutions to reduce transaction volumes, automate recurring analyses, prioritize alerts, and improve AML operational efficiency while ensuring regulatory compliance.

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.

Design and develop AI tools for smart grid applications, integrate ML models into software, and optimize system performance.

Manage a team of ML engineers to develop machine learning solutions for underwriting applications. Set technical strategy, mentor engineers, and collaborate with teams across the organization.

The Senior ML Programmer will develop ML tools, collaborate with various stakeholders, maintain ML systems, and ensure performance standards while also conducting research and documentation.

Developers will use AI-assisted tools to accelerate software delivery or design and deploy ML/LLM-based production solutions (LLMs, RAG, vector search, data pipelines). Work includes system integration, improving UX, and integrating models into clinical workflows. The role requires bilingual French/English communication and contributes directly to healthcare organization impact.

Design, deploy, and maintain end-to-end ML-driven risk solutions at scale to detect and prevent fraud, abuse, and credit risk. Lead technical decisions, build ML tooling and processes, apply state-of-the-art models and third-party data, investigate emerging risk patterns, and collaborate with platform and cross-functional teams to ensure reliable real-time model operation.

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.

As a Machine Learning Engineer II at Affirm, you'll develop AI systems for automating customer operations and collaborate on building models while ensuring high-quality code production.

Design, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, scams, and other abuse. Integrate diverse signals into low-latency serving and batch scoring, own feature pipelines and model lifecycle, develop AI-assisted triage and feedback loops, and partner cross-functionally to balance fraud reduction with legitimate customer access.

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.

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

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

Lead development and production of underwriting and credit decisioning models across Cash App Borrow and Afterpay. Own full modeling lifecycle: problem formulation, feature engineering, training, calibration, experimentation, deployment, monitoring, and iteration. Build decision frameworks, agentic engineering workflows, and collaborate with cross-functional partners to align model behavior with business and regulatory goals.

Senior individual contributor building and maintaining underwriting and credit decisioning ML systems for Cash App Borrow and Afterpay. Responsibilities include feature engineering, model training, calibration, experimentation, deployment, monitoring, and portfolio-level analysis. Collaborate with cross-functional teams to align models with business and regulatory goals and develop AI-native engineering workflows and governance for reliable, auditable model development.

Build, optimize, and embed machine learning models for on-device inference within a Go-based detection engine. Own models end-to-end: deploy, monitor performance, detect drift, iterate, and resolve production issues while collaborating with systems engineers and stakeholders.

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

Seeking a Senior C++ Programmer to develop ML applications, optimize performance, and collaborate with teams. Requires extensive C++ and AI/ML experience.

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

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