Top Machine Learning Jobs in Toronto

The Lead ML Engineer will advance Network Assurance applications through machine learning and AI, guiding teams, mentoring engineers, and driving innovation.

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.

This role involves building and deploying AI/ML solutions for financial reconciliation, ensuring operational performance and participating in design discussions.

The Sales Engineer will lead technical sales interactions, design AI solutions, educate customers on the Shakudo platform, and develop customer relationships.

The Machine Learning Architect designs and implements machine learning solutions, leads projects from concept to deployment, and collaborates with customers to ensure alignment with business goals.

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 the engineering team, ensuring high-quality work, mentoring, recruitment, and fostering a positive culture in a remote-first environment.

The Associate, ML Engagement Management will oversee program execution phases, design and document requirements, build customer relationships, and ensure project success.

The Staff Engineer will drive AI-powered product development, leading technical architecture and fostering rapid iteration in a collaborative team environment.

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.