Top Machine Learning Jobs in Toronto

As a Senior Cloud Platform Developer - Data/ML, you will design and manage cloud-based data infrastructure, develop scalable data and ML pipelines using AWS, and enable domain teams to deliver impactful solutions independently. Your role includes building CI/CD pipelines and collaborating with teams to create domain-specific data products aligned with Data Mesh principles.

The Machine Learning Researcher at Curai Health will advance medical applications of machine learning, contribute to research publications, and collaborate with experts in healthcare technology. Responsibilities include tackling complex healthcare data challenges and mentoring research interns.

As a Machine Learning Ops Developer, you will develop scalable data pipelines and architectures, support data collection and analysis, and write code for model training and deployment, while ensuring the performance of machine learning models. You will collaborate with engineers and work with large datasets to enhance design and engineering workflows in the AEC industry.

As a Senior Machine Learning Engineer at ecobee, you will utilize your expertise to develop ML features, manage the ML life cycle, collaborate with cross-functional teams, and ensure best practices in ML Engineering. The position involves working with various forms of data to enhance ecobee’s products and contribute to building smarter home automation solutions.

The Staff Software Engineer will design scalable product architectures to enhance machine learning capabilities, solving complex problems with high ambiguity while leading cross-team collaborations and mentoring junior engineers. They will be responsible for high-quality code delivery and contributing to innovative improvements across the engineering organization.

As a Senior Machine Learning Engineer at Coinbase, you'll leverage diverse data sources and advanced ML techniques to enhance user experience and security. Responsibilities include developing low-maintenance ML solutions, employing cutting-edge methodologies for fraud detection and recommendations, and creating tools to democratize ML access across the organization.

As the Engineering Manager for Ads Retrieval at Reddit, you will lead a team of ML engineers in developing large-scale retrieval systems and sourcing models for ads. You will define technical strategies, oversee model development, mentor your team, and collaborate with cross-functional stakeholders to ensure alignment with product goals and improve performance metrics.

As a Senior Machine Learning Engineer at League, you will leverage statistical techniques and machine learning to enhance product capabilities in healthcare. You'll work with a multi-disciplinary team to build and deploy ML models, utilizing a sophisticated tech stack. Your role involves collaboration with stakeholders to solve complex problems, manage the entire machine learning product lifecycle, and ensure successful integration into the backend.