Top Machine Learning Jobs in Ottawa

Lead a team of data scientists to deliver insights and data-driven solutions. Provide technical leadership, manage projects, and foster a culture of innovation.

Define and execute the product vision for leveraging data science at DraftKings, focusing on personalization and customer engagement through collaboration across multiple teams.

The AI Engineer will develop and optimize AI solutions, focusing on LLMs, manage datasets, and collaborate with cross-functional teams to align AI/ML solutions with business objectives while ensuring data quality and performance.

Lead the BNPL product strategy and growth by driving cross-functional alignment, partnering with ML and design teams, and ensuring compliance with regulations.

As Product Lead, you'll enhance dispute resolution for Cash App, leading cross-functional teams to improve customer trust, compliance, and operational efficiency.

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 and mentor a team of fraud analysts to identify and mitigate fraudulent activity. Collaborate with cross-functional teams to improve fraud detection processes and develop ML models for risk management.

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.

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.

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

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

Lead and develop a team to investigate and mitigate fraud risks, collaborating with various departments to improve controls and processes. Drive innovation in risk management through analytical skills and machine learning model enhancement.

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.

The Senior Lead AI Solutions Consultant at Braze drives revenue by enhancing the understanding of the BrazeAI tools, engaging with enterprise customers, leading workshops, and collaborating across teams to improve products and customer solutions.

Lead the Behavioral Insights Team to investigate and analyze fraudulent activities, mentor team members, collaborate with cross-functional partners, and drive integration with machine learning for risk management.

Lead a team to analyze patterns to mitigate fraud, driving efficiency through collaboration with analysts and data scientists while mentoring staff and enhancing investigation processes.

The AI Business Analyst will optimize Dropbox's support systems using AI, analyze performance, and guide AI project prioritization to improve customer outcomes.

Lead and develop the Data Loss Prevention Team, establishing strategy and overseeing implementation of DLP tools to enhance security and efficiency at Coinbase.

Lead the Payments Risk engineering team at Coinbase, develop strategies, mentor team members, ensure code quality, and collaborate with cross-functional teams to manage financial risks.

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.

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 Behavioral Insights Lead will manage a team focusing on cryptocurrency risk analysis, detecting fraud patterns, and enhancing data-driven responses to high-risk activities, using machine learning and deep domain expertise in Bitcoin.

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 the transformation of finance technology, focusing on architecture, strategy, and innovative AI-driven solutions to optimize financial processes.

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.