Top Machine Learning Jobs in Calgary

The Staff Product Manager for Trust & Safety will develop fraud prevention strategies, drive cross-organizational execution, prioritize roadmaps, establish KPIs, and ensure customer trust while leading initiatives across products and markets.

Lead the design vision for Square's Financial Suite, managing design teams, driving design quality, and enhancing user experience through innovative financial tools.

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.

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.

Provide end-to-end technical oversight and effective challenge for compliance detection and AI models. Design monitoring frameworks, dashboards, and controls for transaction monitoring, sanctions screening, and risk scoring; lead incident management, regulatory-ready documentation, tuning/deprecation decisions, and cross-functional remediation.

Lead dispute resolution efforts for Cash App, collaborating with cross-functional teams to ensure safety, compliance, and customer satisfaction.

The Head of Analytics Engineering will lead the Analytics Engineering team, develop data platforms, and promote data literacy within Block's Risk organization, partnering with various stakeholders to enhance risk management capabilities.

As Product Lead for Borrow, you'll drive the product vision, work with cross-functional teams, and enhance customer experience while maximizing access to credit.

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.

Lead end-to-end product for GTM automation, building AI/ML systems that automate Sales and Marketing workflows. Define strategy, metrics, experiments, model goals, safety, and launch cross-functionally with engineering, ML, data, design, legal, and operations.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras. Oversee model lifecycle and ensure reliable features by collaborating across teams.

Lead technical vision and execution for enterprise AI, data, and automation initiatives. Architect and deliver scalable AI systems, data pipelines, and intelligent services; mentor engineers; drive cross-functional alignment, risk mitigation, and operational excellence; prototype solutions and influence org-wide strategy to maximize business impact.

The Product Marketing Manager will focus on the Public Sector, developing messaging and content, supporting sales enablement, and collaborating with teams to drive market success.

Lead strategy and roadmap for platforms that deliver personalized, scalable promotional experiences. Partner with Engineering, Marketing, Data Science, and Analytics to build dynamic offers, experimentation, machine learning-driven targeting, and measurement. Drive discovery, launch, iteration, and integrations while ensuring responsible gaming and measurable business impact.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

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

Lead the Consumer Risk product for Affirm, focusing on Credit, Pricing, and Fraud, while managing a team of Product Managers and collaborating cross-functionally to drive product strategy and execution.

Lead and manage a team of software engineers to develop innovative hardware, software, and AI solutions for physical operations, ensuring customer satisfaction and team growth.

Provide legal counsel on data privacy and security issues, support incident responses, and review product launches while collaborating with cross-functional teams.

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

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

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

The Account Executive is responsible for growing sales of Microsoft 3-cloud products, managing sales cycles from lead capture to closure, and building relationships with Microsoft account teams and clients.

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.