Top AI Jobs in Ottawa

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.

The Senior Manager of Data Loss Prevention will lead the DLP team, develop strategies, implement technologies, and ensure data protection across the company.

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 role involves designing, deploying, and refining ML systems for conversational AI, focusing on large-scale LLM workflows while ensuring responsible AI practices and mentoring team members.

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 product management for AI and automation, developing strategy and integrating with operations. Focus on customer value, team performance, and market impact.

Design, deploy, and improve ML models to prevent fraud and enhance platform security. Collaborate with teams to respond to risks and develop scalable solutions.

Join the Risk AI/ML team to build and deploy advanced models protecting users from fraud and scams, leading technical efforts in this critical area.

Manage a team focused on sales data quality. Develop automated processes for data validation and manage data quality pipelines using AI and modern technologies. Collaborate with various business units to improve data strategies.

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

Lead the Agent Platform and Builder at Dropbox, focusing on creating AI agents, collaborating with multiple teams to develop and scale the platform, and defining success metrics.

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 a Staff Engineer, you'll develop and enhance agentic automation features, leverage large language models, and drive AI strategy for customer success through robust integrations and systems.

The Senior Applied AI Engineer will build and integrate LLMs into Zapier's software products, enhance performance and reliability, and collaborate with cross-functional teams to optimize AI features, focusing on user experience and scalability.

The IP Counsel will advise on AI, open source software, and IP transactions, ensuring compliance and facilitating engagement with the open source community.

The Senior Software Engineer will build core services and SDKs for production-grade systems, lead projects enhancing tools, and collaborate cross-functionally.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

The AI Innovation Lead will drive the adoption of AI in marketing, enhance workflows, and lead change management for automation tools.

Manage a team of engineers, oversee project execution, partner with Product Managers, ensure high-quality software and Agile practices, and drive AI integration efforts.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Lead the data science strategy, mentor a team of data scientists, oversee AI model deployment, and ensure measurable business impact.

The AI Growth Lead will drive AI adoption at Coinbase by collaborating across functions to identify, prototype, and implement AI solutions, ensuring ROI and adherence to ethical guidelines.

Lead the development of AI-powered safety products, conduct market research, collaborate with engineering and sales teams, and mentor a product team.

As a Staff Data Scientist for Dropbox's AI Products, you will define the mission, guide teams, influence product direction, and work with cross-functional teams to drive AI/ML capabilities.