Top AI Jobs in Toronto

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

As a Senior Product Designer, you will enhance user experience for AI products, collaborating with cross-functional teams and conducting user research to inform design decisions.

Design innovative tools and experiences for developers using AI, advocate for AI benefits, collaborate with teams, and manage large projects.

Design and implement infrastructure for deep learning model training and deployment in self-driving trucks, optimizing performance and metrics tracking.

Develop generative AI models, implement various techniques for decision-making, and optimize pipelines for improved adaptability and robustness in AI systems.

The role involves developing multimodal AI models that integrate various sensor data, optimizing for efficiency, and enhancing AI adaptability through research and model refinement.

The Manager, Artificial Intelligence will lead AI projects, manage a software engineering team, and ensure successful deployment of solutions in the insurance sector.

Design and implement AI-driven identity frameworks and services. Collaborate across teams, improve developer experience, and mentor junior engineers.

Develop and refine advanced document AI models, tackle complex modeling challenges, lead LLM fine-tuning, and foster collaboration among teams to deliver impactful solutions.

The Staff Machine Learning Engineer will develop advanced Document AI models, solve complex modeling challenges, lead LLM fine-tuning, and provide leadership in a collaborative environment.

As an AI Forward Deployed Engineer, you'll design AI workflows, act as a customer technical bridge, and optimize deployment performance. You'll thrive in a fast-paced, early-stage environment, shaping tools and documentation while ensuring system reliability.

Lead a technical team to implement Generative AI solutions for telematics, design models, and ensure alignment with business goals. Mentor team members and manage projects effectively.

As an AI Engineer (Pre-Sales), you'll work with sales, design technical demos, manage POCs, and build AI solutions to meet customer needs.

Lead the development of high-performance ML platforms, guide the software lifecycle, and collaborate with teams to drive innovation in Generative AI and networking solutions.

Design and implement end-to-end solutions for Generative AI applications, focusing on backend services and user-friendly frontend experiences while ensuring performance, security, and fault tolerance.

As an AI Research Scientist, you will develop ML models, lead research projects, review AI literature, and explore new data sources.

The role involves innovating Generative AI solutions, leading software development lifecycle, and collaborating with teams for model development and deployment in large-scale systems.

As a Senior Analytics Lead, you'll leverage data to enhance the rider experience, influence business decisions, and collaborate with cross-functional teams.

The Senior AI Engineer will develop AI-driven browser automation tools for navigating websites and extracting data, focusing on machine learning techniques and collaboration with data scientists for model optimization.

The AI Engineer will design and implement AI systems focused on Generative and Agentic AI, utilizing LLMs and various automation frameworks for seamless integration and deployment.

As a Senior Product Engineer, lead the development of AI-powered software for accounting, focusing on frontend design and collaboration across teams to enhance user experiences.

Lead the AI quality strategy for content migration, ensuring quality and timely delivery of projects while mentoring and guiding less experienced colleagues.

Lead the CoCounsel AI Assistant team as a Full Stack Software Engineer, focusing on building user-facing features and improving platform capabilities with deep expertise in frontend engineering and collaborative work across the technical stack.

As a Lead Product Engineer, you'll lead the development of AI-driven software, collaborating with cross-functional teams to deliver user-centric interfaces and scalable features for accounting workflows.

As a Full Stack Engineer in AI Solutions, you will develop frontend and backend applications, integrate AI workflows, and ensure secure application deployment.