Top AI Jobs in Ottawa

The Director, Government Affairs and Public Policy Lead - Canada will strategize and engage with government across Canada, focusing on key policy areas while providing insights to executives and supporting internal 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.

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.

As a Senior Product Manager, you will lead the transformation of the AI-assisted website builder, including strategy, roadmap, execution, testing, and rollout, to enhance real estate website creation using the latest AI technology.

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 Applied AI Engineer will develop AI-powered solutions, architect backend systems, integrate AI services, and collaborate with cross-functional teams to enhance business capabilities.

The Senior Data Scientist will leverage data-driven insights to guide product roadmaps, build foundational tools for AI/ML growth, and communicate findings effectively to influence business decisions.

Join Welo Data to provide high-quality AI datasets including annotation, labeling, and data collection in multiple languages.

Lead a team of engineers to design and implement AI features, improve user experience, and drive automation solutions with a focus on user needs and experimentation.

Zapier seeks an Engineering Manager to lead the AI Capabilities team, focusing on building a robust AI platform with reusable APIs and high-quality features. Responsibilities include leading engineers, making architectural decisions, and enhancing development processes to improve user experiences and align with company goals.

As a Machine Learning Engineer in the Risk AI/ML team, you will design and deploy sophisticated AI/ML models to prevent fraud and improve risk detection processed while leading technical strategies and mentoring team members.

As a Senior Machine Learning Engineer at Coinbase, you will lead the design, development, and deployment of advanced risk detection models while mentoring junior engineers. You'll collaborate on technical roadmaps and apply cutting-edge ML methodologies to enhance security against fraud and scams.

The role involves developing ML models to enhance security measures against fraud and scams, collaborating across teams, and deploying sophisticated AI solutions on the self-service ML platform.

The Product Manager will lead the development of AI-driven safety products, leveraging video data and collaborate with engineering, sales, and customers to enhance operations.

As a Senior AI Engineer, you will build advanced AI systems using LLMs, develop multi-agent systems, and optimize AI features impacting user productivity.

The AI Research Infrastructure Engineer will design, build, and implement AI systems and automated data pipelines for research, focusing on workflow automation and integration with tech stacks.

The role involves designing and implementing AI research infrastructure, building automated data pipelines, and integrating AI systems to enhance research efficiency and insights delivery.

Lead the development of AI evaluation systems at Dropbox, measuring quality and reliability of AI features, collaborating across teams, and defining metrics for product improvements.

As an AI Self-Service Program Manager, you will lead AI platforms for customer experience, driving innovation and improving performance metrics.

As a Senior Product Designer at Zapier, you will design AI capabilities and human oversight workflows, driving enterprise impact and collaborating across teams.

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 the AI Growth Lead, you will drive AI adoption at Coinbase, collaborating with teams to identify automation opportunities, design solutions, and ensure scalability while communicating the impact to stakeholders.

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 role involves building production-grade agent systems, designing scalable backend services, and collaborating with engineering teams on AI tools and blockchain technology.

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.