Top Tech Jobs & Startup Jobs in Toronto

The job involves conducting applied AI research, developing algorithms for computer vision, and producing impactful academic publications. The role requires collaboration with product teams and focuses on real-world application of AI techniques.

Conduct applied research to develop AI data engine and storage architectures for large-scale workloads, optimize system software, and advance AI storage technologies.

Participate in LLMs reasoning research, implement algorithms, deploy models, and write technical reports. Collaborate with researchers on AI innovations.

The Senior Researcher will develop approaches in Embodied AI, work with generative AI and reinforcement learning, and contribute to top-tier research publications.

The role involves researching computing hardware technologies, generating analysis reports, participating in conferences, and organizing workshops to aid strategic decision-making.

Engage in AI research to optimize systems on edge devices, develop efficient algorithms, and analyze AI model performance.

Lead the development of competitive bus architectures and interconnection protocols for AI and computing. Innovate in chip design and ensure business success through system-level solutions.

The Principal Scientist will develop AI performance models, optimize AI workloads, and lead algorithm breakthroughs for next-generation chips, focusing on hardware-software co-design in computing technologies.

Design and develop software for AI, GPU, and CPU architectures, while mentoring junior developers and optimizing software system performance.

Lead a research team to develop and deploy cutting-edge networking technologies for AI infrastructure and cloud networks, facilitating product competitiveness.