Top Machine Learning Jobs in Toronto

As an Engineering Team Lead at Roofr, you will lead a team of engineers, contribute to product and technology roadmaps, mentor team members, and improve engineering processes. You'll collaborate with product teams and work in an early-stage company, focusing on delivering high-quality software and evolving the technical landscape of the organization.

The Senior Staff Software Engineer at Affirm will define technical direction, foster innovation, build scalable solutions, and guide architectural choices. Responsibilities include designing and implementing core services and APIs, architecting data-processing pipelines, and addressing performance issues across distributed systems.

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

The Staff Machine Learning Engineer will lead the technical vision and hands-on development across the credit and underwriting platform. Responsibilities include mentoring teams, refining systems for customer demands, collaborating with cross-functional teams, and ensuring engineering excellence while incorporating generative AI technologies into workflows.

Join the Hendrix Serving team at Spotify as a Backend Engineer to build a platform for machine learning models and optimize data pipelines.

As an MLOps Engineer at BuildOps, you will implement and enhance AI/ML features, build and deploy machine learning models, develop backend and client-side code, manage deployment and monitoring tools, collaborate with cross-functional teams, and maintain high-quality software. The role requires innovative thinking in AI technologies for commercial contractors' software solutions.

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.

Lead the Machine Learning Engineering team, focusing on identity verification, engineering management, technical architecture, and collaboration across disciplines to enhance safety and trust in the Cash App ecosystem.

Manage the Machine Learning Engineering Identity team to develop solutions that protect identities, enhance user verification, and ensure secure financial access through effective coaching and technical leadership.

As a Staff Machine Learning Engineer, you will build and deploy ML models for personalization features in Cash App, collaborating with product and marketing teams to enhance user experience and drive growth.

As a Machine Learning Researcher, you will develop and deploy advanced machine learning models, collaborate with a skilled team, and contribute to generative AI projects while communicating complex research effectively.

The role involves profiling and optimizing machine learning tasks, writing efficient code, working with AWS and Kubernetes, and collaborating on AI Research projects. The developer will prepare containers for ML tasks, train models, build pipelines, and present findings to stakeholders.

The Principal Machine Learning Engineer will architect and deploy advanced ML models, lead the modeling process end-to-end, conduct data preparation, and collaborate with cross-functional teams to optimize and implement models that address significant business challenges.

As a Senior Machine Learning Engineer, you will develop and deploy machine learning models to enhance personalization experiences for Cash App users, collaborating with product and marketing teams.

The Staff Machine Learning Engineer will lead the development of advanced Document AI systems, implementing technologies for information extraction, retrieval, and management. Responsibilities include mentoring the data science team, translating research into practical solutions, and guiding large-scale machine learning projects tailored for legal and medical document processing.

As an Engineering Manager for the Growth team at Stripe, you will lead design and development efforts for web and dashboard experiments, manage high-performing engineering teams, and collaborate with other leaders to translate growth strategies into actionable roadmaps. You will ensure high-quality user experiences and drive improvements across platforms, with a focus on mentoring senior engineers and executing complex projects.