Top AI Jobs in Toronto

Train and evaluate AI models for computer vision tasks, assess model accuracy, create training data annotations, and suggest improvements for visual data interpretation.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

The VP of Marketing will lead the marketing strategy at BenchSci, focusing on building a strong brand in biopharma R&D using AI and autonomous operations, while driving lead generation and collaboration across teams.

Consult with clients to design, build, and implement AI and machine learning solutions. Perform exploratory data analysis, feature engineering, model development and evaluation, data pipeline and visualization development, and contribute to documentation, testing, and cross-functional delivery for generative AI and analytics projects.

The Applied AI Specialist will design and maintain data pipelines for ML, prepare datasets, collaborate with AI engineers, and ensure data reliability for AI applications.

The Applied AI Specialist will design and implement AI features, develop APIs, optimize workflows, and manage deployment of machine learning models.

Design, build, and iterate on fullstack systems for AI agents. Collaborate with teams to enhance UX and contribute to internal best practices while engaging in research related to AI technologies.

The AI Engineer will develop intelligent systems by prototyping and deploying AI features, integrating LLMs, and exploring SLMs for efficient deployment.

Seeking senior technology leaders for advisory roles on AI product decisions, requiring expertise in AI/ML at scale, system design, and producing decision-ready artifacts.

The Senior Software Developer will drive AI innovations, enhance system efficiency, and develop AI-driven applications using Microsoft technologies. Responsibilities include collaborating with stakeholders and ensuring compliance with security standards.

Responsible for bridging enterprise data with AI capabilities, translating business challenges into operational solutions, and driving complex sales deals by connecting technical solutions to business value.

The AI Enablement Content Producer will create visual materials to support AI adoption, including presentations, playbooks, and reports, collaborating across teams to ensure clarity and engagement.

As a Product Design Intern, you'll design user experiences for AI Agent products, conduct user research, prototype, and collaborate with teams to enhance product strategy and usability.

The Data/AI Engineer will architect AI applications, manage the AI application lifecycle, optimize RAG pipelines, and mentor junior engineers, leveraging technologies like Python and Azure.

The Senior Application Engineer will architect and develop AI agents using Salesforce Agentforce, build automations, and integrate external data sources, while collaborating on projects and mentoring others.

The Senior Software Engineer will lead the technical roadmap for AI initiatives, architect LLM systems, and mentor engineers while collaborating with product teams to design technical solutions.

Lead the development of AI agents and their platform, including LLM training, backend infrastructure, and technical leadership across teams.

The Senior Manager for AI and Automation Strategy is responsible for shaping AI strategy in customer operations, ensuring value across various metrics, and influencing senior stakeholders through clear communication and execution governance.

The Senior Software Engineer will design and develop AI-powered tools to automate quality assurance processes, improve developer workflows, and enhance testing efficiency, directly impacting developer productivity and satisfaction.

Lead product development for AI-powered customer experiences and internal AI platform, managing metrics, collaborating with engineers, and ensuring best practices in AI usage.

Lead product development for AI-powered customer experiences and internal AI platform, focusing on automation and improvement metrics while partnering with engineering teams and evaluating new AI models.