Top Tech Jobs & Startup Jobs in Toronto

The Staff Software Engineer will develop and deploy high-performance machine learning systems, optimizing large language models for production environments. Responsibilities include ensuring high availability and low latency for AI applications and working collaboratively across teams.

As a Senior HR Business Partner, you will support growth and enhance employee experience through talent strategy, organizational design, and critical HR projects while collaborating with tech leaders.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.

As a Forward Deployed Engineer, you will build and ship features for an AI workspace platform, develop autonomous agents, and manage end-to-end deployments, collaborating closely with clients in various sectors.

Lead and manage a team of engineers to design, develop and maintain the North AI workspace platform, enabling seamless integration of enterprise AI solutions.

The Head of Brand Marketing will create and implement brand strategy, own narrative identity, lead cultural relevance, and manage integrated campaigns while overseeing the creative team across design, editorial, and social aspects.

The Recruitment Coordinator will manage the interview process, support hiring teams, optimize recruitment procedures, and enhance the candidate experience while maintaining communication with various stakeholders.

The Editorial Director will oversee Cohere's editorial function, managing publishing operations, developing editorial standards, and leading storytelling across various mediums to enhance brand identity and audience engagement.

As a Data Annotation Specialist, you will label, audit, and optimize data for AI models in Chinese while ensuring high accuracy and quality. You will perform repetitive tasks and collaborate with teams, providing feedback and recommendations for data improvement.

As a Senior Full Stack Engineer, you'll build features for an AI workspace, develop agents for sensitive data, write minimal code, and collaborate with researchers to implement models.