Top AI Jobs in Toronto

The Staff AI Engineer will design and enhance machine learning inference services for Cash App's Financial Crimes Technology team, focusing on optimizing operations and integrating AI/ML best practices. The role involves collaboration with cross-functional teams and requires leadership in driving strategic initiatives and prototyping new tools for modelers.

The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.

Design, build, and maintain Machine Learning systems to flag fraudulent activities in real-time. Collaborate with global colleagues on challenging technical problems. Lead the conception and implementation of large-scale experiments to validate novel ideas. Apply latest theoretical advancements to enhance existing products and technologies. Conduct experiments across various computer science domains.

As a Senior Staff AI Engineer, you will lead a team of engineers to develop autonomous capabilities for humanoid robots, focusing on machine learning algorithms for manipulation and locomotion. Responsibilities include research management, model training, and staying updated on state-of-the-art AI techniques.

The Principal AI Engineer will work within the Detection Labs at Armis, utilizing AI and ML to develop detections for cyber threats, support investigations into security incidents, and collaborate with teams to enhance cybersecurity measures. The role includes managing client relationships and contributing to threat hunting efforts.

As a Full-Stack Software Developer, you will collaborate with cross-functional teams to develop generative AI tools. Responsibilities include software development, testing, designing, and contributing to CI/CD processes. You will work with modern practices and help build applications for the AEC industry using various technologies.

As a Senior AI/HPC Storage Engineer, you will design, implement, and optimize advanced data storage systems for AI and HPC, ensuring reliability and efficiency. Responsibilities include automating infrastructure processes, performance analysis, and collaborating with teams to enhance data accessibility and security.

As a Software Engineer on the AI Copilot team, you'll design and implement a copilot framework for a chat-based interface, enhance internal copilot capabilities by integrating data sources, and collaborate with other engineers to solve technical challenges. You will also improve system performance and conduct technical interviews for new hires.