Top AI Jobs in Toronto

The Lead Product Designer will focus on designing AI capabilities for Piper, an AI SDR, while collaborating closely with engineers and machine learning teams. Responsibilities include creating intuitive interfaces for AI behavior and live chat experiences to enhance user trust and interaction effectiveness.

The role involves leading AI adoption in marketing operations to enhance pipeline performance and streamline processes. Responsibilities include designing AI-driven workflows, managing demand infrastructure, ensuring data integrity, and aligning marketing efforts with revenue operations. Strong emphasis on measurable impact and team collaboration is essential.

Develop AI-powered features, design APIs, integrate AI/ML models, and enhance developer experience for ClickHouse's platform.

The Data Scientist will develop data labeling strategies, optimize datasets for LLMs, analyze data quality, and collaborate with engineering on data processing pipelines.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.

This role involves driving new client acquisition and revenue growth through full-cycle sales execution and relationship building with stakeholders, while maintaining pipeline tracking in CRM.

Participants will learn to design intelligent AI workflows and automation tools using modern AI technologies and publish their own projects within eight weeks.

The Solutions Architect will collaborate with customer teams to design tailored solutions, engage through implementation, and analyze customer feedback to drive continuous improvement.

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.

As a Social Media Intern at Inception, you will manage social content across platforms, engage with AI discussions, participate in product launches, and create engaging video content. Aimed at students with a passion for AI and strong writing skills, the role offers direct access to the founding team and the potential for full-time conversion.

You will build AI-native creative workflows, generate production-grade assets, and establish automation systems for creative processes across multiple brands.

The Director of AI Creative Systems will establish and manage an AI-driven creative production system, ensuring high-quality output across various media. Responsibilities include designing workflows, automating testing, and collaborating with cross-functional teams to streamline creative processes.

The AI Engineer will design, develop, and deploy AI-powered systems, improve operations with intelligent workflows, and collaborate on high-leverage AI opportunities.

The Applied AI Scientist will develop and experiment with small language models, integrate AI systems, curate training data, and evaluate model performance in a collaborative R&D environment.

The role involves developing computational chemistry tools, implementing AI and physics-based simulations, and maintaining scientific software systems while collaborating with experts across various fields.

The Director of AI Product Management at WatchGuard will drive the strategy and execution of an AI-powered action layer, manage the product roadmap, collaborate cross-functionally, and ensure value delivery to MSP partners.

Seeking Machine Learning Systems Engineers to build end-to-end 3D native ML systems, focusing on training and inference challenges.

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

You will design and build high-performance graphics systems for 3D generative AI, collaborating closely with artists and researchers to innovate production pipelines.

As a Chatdesk Expert, provide customer support for brands through social media and email. Set your own schedule and work remotely.

Drive sales of AI/HPC data center hardware to enterprise, cloud, and research customers; develop sales strategies and manage relationships with OEMs and VARs.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

The Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.

The Head of Product will lead the AIVM initiative, translating company vision into product strategy and managing the product lifecycle from development to market launch, with a focus on AI and blockchain integration.