Top Machine Learning Jobs in Toronto

As a Staff Machine Learning Engineer, you will lead AI initiatives, mentor team members, improve data platforms and drive AI standards across the organization.

As a Senior Backend Engineer at Roofr, you will enhance backend architecture, collaborate with cross-functional teams, write clean code, and drive engineering initiatives in an agile environment.

Design and develop Computer Vision and Machine Learning algorithms, write production-quality C++ code for real-time systems, and create testing tools.

Lead Applied Scientists in NLP/ML are accountable for designing AI solutions, collaborating across teams, mentoring, and aligning tech with business goals.

The Sr Principal AI Architect will lead the AI strategy at Workday, architect complex AI solutions, and manage integration with data platforms.

The Principal MLOPs Engineer will architect and optimize an ML inference platform, collaborate with teams to meet business goals, lead engineering efforts, and mentor team members.

Responsible for optimizing AI cloud platform deployment, ensuring high reliability and scalability of distributed training and inference infrastructure, and developing tools to identify system bottlenecks.

Lead and mentor an engineering team on merchant risk processes, collaborating with product managers and machine learning teams to build effective systems.

Design and develop state-of-the-art language models and ML systems. Collaborate with product teams and lead impactful ML projects in a fast-paced environment.

Lead design and implementation of AI product initiatives on Edge devices, optimizing ML models, and collaborating across business units to enhance performance and customer experience.

The Senior Research Engineer will develop and deliver solutions using AI and ML, create scalable systems, and work collaboratively within teams.

As a Machine Learning Engineer II at Instacart, you'll design, develop, and deploy machine learning solutions to solve practical problems. Collaborating closely with product managers and data scientists, you'll improve the reliability of ML systems while focusing on effective incentivization methods. Your work will contribute to the company's growth and sustainability efforts.

Lead a team of research engineers in developing AI solutions for tax software. Collaborate cross-functionally to innovate and improve product offerings.

The Solutions Engineer at Infobip serves as a liaison between customers and technical teams, facilitating project management, integration, and solution delivery while ensuring customer satisfaction and driving innovative use cases.

The Solutions Engineer leads technical sales engagements, educates clients on AI and data solutions, and develops customer relationships to meet strategic needs.

The Senior Engineering Manager will lead engineering teams, overseeing brand-related projects, collaborating with product management and enhancing operational efficiencies.

Design and implement AI and machine learning solutions, collaborating with teams, developing architectures, and overseeing technology integration.