Top Machine Learning Jobs in Ottawa

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

Support and integrate perception algorithms in self-driving vehicles, ensuring code quality and solving integration challenges across multiple sensor modalities and deep learning models.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

The Solution Architect focuses on integrating and enhancing AI features within enterprise applications, driving operational excellence and hyperautomation across the organization.

Lead the machine learning and personalization efforts at Babylist, managing a team focused on enhancing product recommendations, search, and revenue through ML initiatives.

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

The Head of AI will define and execute an AI roadmap, lead research initiatives, mentor the AI team, and collaborate with senior leadership to enhance health technology.

The Senior Director, AI Engineering will lead the Machine Learning and Data Science teams, defining strategy, and embedding AI in products. Responsibilities include overseeing model development, team management, and integrating LLM and NLP technologies.

The role involves researching AI/ML concepts for OS, implementing advanced technologies, and optimizing performance and resource management in embedded systems.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.

The Operations Strategist will manage business operations, oversee complex logistics, support project synchronization, and drive customer relationship management in a mission-driven AI and marine science organization.

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

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

The Principal Risk Quality Engineer leads the Risk Management process for AI/ML medical technology, ensuring safety, compliance, and risk assessment throughout the product lifecycle.

The Neuron Whisperer will establish and execute neuron culture methods, optimize protocols, collaborate with teams, and provide input on research design and workflows.

Develop and optimize auto-labelling systems using ML and computer vision, manage data pipelines, and collaborate with researchers.

The Data Scientist will design algorithms for insights, structure data, collaborate with machine learning engineers, and analyze datasets to improve workflow automation and product value.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

As a Staff Software Developer in Test, you'll leverage AI for QA to improve testing processes, implement automation, and support the QA team.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

The Senior Director, Intelligence leads analytics initiatives, managing teams to develop insights and frameworks that enhance decision-making across Duck Creek Technologies. They ensure scalable and trusted analytics while collaborating with product, engineering, and business stakeholders to drive data-informed strategies and operational excellence.

The Senior Staff Machine Learning Engineer will lead the design and scaling of advanced ML systems, mentor engineers, and define technical strategy across Affirm.