Top Tech Jobs & Startup Jobs in Toronto

The role involves advancing reinforcement learning techniques for LLMs, including designing training pipelines and evaluating agentic behaviors, contributing to scientific publications.

The Senior Kernel Developer will enhance real-time OS for embedded devices, focusing on resource management, scheduling, and performance tools while contributing to innovative solutions in complex systems.

The Principal Architect will design foundational model architecture for AI, optimize hardware efficiency, and lead distributed training infrastructures.

Design, develop, and test software for compilers, language runtimes, and optimization of deep learning frameworks while collaborating in a project-based environment.

The Researcher will work on projects focused on long-context LLMs, developing training pipelines, collaborating on implementations, and publishing research in prominent conferences.

Lead the design and deployment of AI multi-agent systems on cloud platforms, integrate AI models, and collaborate with a global team.

The Technical VP for AI & Data Storage will define technology roadmaps, lead research advancements, and mentor engineers in evolving storage systems integrated with AI.

The Technical VP will lead innovations in big data and AI strategies, optimize data performance, manage R&D teams, and engage with industry communities.

The Recruiter will manage the entire recruitment process, implement sourcing strategies for technical roles, negotiate compensation, and collaborate with hiring managers to meet recruitment goals.

The HR Business Partner will coach leadership, manage HR processes, deliver training, handle employee relations, and ensure effective talent management and compliance.