Top Machine Learning Jobs in Toronto

Analyze and optimize power performance for silicon platforms, develop scalable power models, and collaborate across teams to exceed performance requirements.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

The Senior Technical Product Manager will lead product vision for the ML team, collaborating with various teams to enhance user experiences through ML tools and data solutions, tracking KPIs and project lifecycles.

Manage the delivery of AI-powered agent assistance projects from design to deployment, including financials, risks, and stakeholder engagement.

The Engagement Manager II oversees the deployment of AI solutions, leads workshops, manages customer relations, and drives process improvements in project execution.

Lead the Onboarding & Activation engineering team, leveraging AI to optimize customer experiences and revenue growth through collaboration and experimentation.

As a Product Manager, you will develop customer-centric products leveraging technology, lead cross-functional teams, and define success metrics while fostering innovation and team culture.

Develop predictive models and apply machine learning to enhance Marketing strategies. Collaborate with teams to drive data-informed decisions and measure initiative impacts.

As Product Manager for Complaints, you will lead complaint management strategy, drive team collaboration, oversee product development, and ensure regulatory compliance across Block's businesses.

The Senior Product Manager will drive engagement strategies, optimize seller interactions, lead experimentation, and collaborate with cross-functional teams to enhance seller retention and growth.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

The AI Business Analyst will optimize Dropbox's support systems using AI, analyze performance, and guide AI project prioritization to improve customer outcomes.

Lead the Behavioral Insights Team to investigate and analyze fraudulent activities, mentor team members, collaborate with cross-functional partners, and drive integration with machine learning for risk management.

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

The Senior Lead AI Solutions Consultant at Braze drives revenue by enhancing the understanding of the BrazeAI tools, engaging with enterprise customers, leading workshops, and collaborating across teams to improve products and customer solutions.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras. Oversee model lifecycle and ensure reliable features by collaborating across teams.

The Head of Design will lead design efforts for Square's Financial Suite, focusing on product experience, automation, and team mentorship while integrating financial management tools for small businesses.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

Join Atlassian as a PhD AI Research Intern, focusing on advanced machine learning and AI technologies. Collaborate with experts, curate datasets, train models, and contribute to academic publications in a supportive team environment.

Lead a team of data scientists to deliver insights and data-driven solutions. Provide technical leadership, manage projects, and foster a culture of innovation.

Define and execute the product vision for leveraging data science at DraftKings, focusing on personalization and customer engagement through collaboration across multiple teams.

The AI Engineer will develop and optimize AI solutions, focusing on LLMs, manage datasets, and collaborate with cross-functional teams to align AI/ML solutions with business objectives while ensuring data quality and performance.

Lead the BNPL product strategy and growth by driving cross-functional alignment, partnering with ML and design teams, and ensuring compliance with regulations.

As Product Lead, you'll enhance dispute resolution for Cash App, leading cross-functional teams to improve customer trust, compliance, and operational efficiency.