Top Machine Learning Jobs in Ottawa

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

As a Platform Architect, you will design and implement a scalable AI technology platform and collaborate across teams to meet user requirements and business objectives.

As a Machine Learning Engineer, you'll develop advanced ML models, create LLM solutions, and collaborate with cross-functional teams to enhance customer experience.

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

As a Senior Machine Learning Engineer, you will build and optimize ML models, design ML infrastructure, and collaborate with teams to enhance AI products for cybersecurity.

The Staff Software Engineer will design, build, and scale ML systems to enhance user engagement through recommender systems and collaboration with cross-functional teams.

Develop and integrate AI agents for security platforms, focusing on natural language data processing and automating security tasks.

As a Founding ML Engineer, you will build and optimize GPU infrastructure for real-time AI, focusing on model inference, architecture, and customer engagement.

Lead the development and implementation of quality strategies for machine learning systems. Collaborate across teams to enhance product quality and monitor effectiveness.

The Staff Machine Learning Developer will design and develop scalable ML systems for Unity Ads, focusing on ML platform capabilities, collaborating with teams, and implementing best practices for MLOps.

As a Machine Learning Engineer, you will research automating ML workflows, collaborate on product development, and support customer needs with technical solutions.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

The Senior Engineering Manager will define technical vision, lead teams, shape strategy, and enhance the data-driven culture at Thumbtack.

The Senior Machine Learning Engineer will design and build ML systems, collaborating with cross-functional teams to enhance AI insights and deliver efficient data processing solutions.

The role involves designing and training advanced ML models for Reddit's Ads Ranking while mentoring and collaborating with cross-functional teams.

Lead and grow a global engineering team, drive technical strategy, and ensure alignment between client goals and engineering solutions in a remote setting.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

As an ML Infrastructure Engineer, you will build infrastructure for AI development, automate ML workflows, and enhance developer experiences while collaborating with various engineering teams.

As a Machine Learning Engineer, you'll design and deploy ML models to optimize ads through ad ranking, bidding, and measurement, while managing the complete ML lifecycle.

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.

Design and implement infrastructure for deep learning model training and deployment in self-driving trucks, optimizing performance and metrics tracking.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

The role involves developing, enhancing, and maintaining machine learning pipelines and data science solutions while leading complex ML engineering projects and mentoring team members.

Lead the design and development of scalable, high-performance real-time data and API infrastructure to support AI applications. Mentor engineers, ensure system reliability, and collaborate across teams.

Develop AI-driven features and systems, focusing on LLM fine-tuning and integration with third-party tools. Stay current with AI advancements.