Top Machine Learning Jobs in Toronto

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

The Senior Machine Learning Engineer will develop and maintain ML feature systems, drive architectural decisions, and mentor engineers while collaborating with cross-functional teams.

Lead engineering initiatives with a focus on ML and software development, driving team excellence through strategic leadership and collaboration.

The Senior Software Engineer will design AI-powered tools to automate quality assurance processes, improve developer workflow, and mentor junior engineers in building scalable systems.

As a Software Engineering Intern, you will work on an impactful project, gain mentorship, collaborate globally, and utilize various technologies in computer science.

The Principal, AI Models will develop and scale small language models for healthcare, leading data curation, safety alignment, and model serving strategies. They will mentor a team and ensure ethical AI practices while collaborating across teams.

Lead the development of ML solutions to enhance user experience at Babylist. Build recommender systems and personalization features from scratch, collaborating with a cross-functional team.

The Legal Product Consultant will integrate AI legal tools into firms, support client onboarding, and provide feedback for product innovation.

The role involves designing and refining AI/ML models, conducting R&D on architecture and safety, and implementing advanced analytics for financial services.

The Senior Data Scientist II will develop machine learning models and collaborate with teams for data-driven decisions, enhancing data science methodologies.

The Sr. Machine Learning Engineer/Data Scientist will develop machine learning models, drive data-driven decisions, mentor others, and lead strategic projects in eCommerce.

The Senior Applied Science role involves designing AI solutions that enhance products, managing model development, and collaborating with engineers in an agile setting.

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

Join Articul8 AI as an Applied AI Researcher to conduct research, design AI models, and advance generative AI capabilities. Collaborate with teams and publish findings.

The Principal AI Researcher will lead GenAI research, design and implement new models, mentor teams, and guide product development strategies.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

Manage product strategy for search and embedding models, focusing on performance, user needs, and market competitiveness while collaborating with cross-functional teams.

As a Machine Learning Engineering Intern at Cresta, you'll design, develop, and deploy AI Agent solutions, collaborating across teams to implement cutting-edge AI technologies in practical applications.

Lead the design and implementation of AI-driven forecasting and financial modeling systems, collaborating across teams to enhance decision-making and operational reliability.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

The Machine Learning Engineer will develop and deploy AI/ML models to enhance security, improve model performance, and respond to new threats in the Coinbase platform. Responsibilities include collaborating with stakeholders and applying advanced ML techniques.

The role involves applying advanced machine learning techniques to improve customer interactions, mentoring engineers, and designing scalable systems at Coinbase.

As a Senior Machine Learning Engineer, you will own a risk domain, architect ML systems, mentor engineers, and apply advanced ML methodologies to enhance security measures against fraud and scams.