Top Tech Jobs & Startup Jobs in Toronto

Conduct frontier research on agentic AI and multimodal interaction, monitor industry and academic trends, prototype agent-human interfaces, run user studies, and translate research into product roadmaps while collaborating across research, UX, systems, hardware, and product teams.

Design and implement scalable AI agent pipelines and runtimes, build automated code-generation and self-debugging loops, create advanced agent memory systems, develop automated evaluation frameworks for agent accuracy and latency, and translate cutting-edge agent research into production-grade software libraries.

Conduct research on safe, reliable embodied AI for robotic manipulation and autonomous decision-making. Develop and evaluate reinforcement learning, imitation learning, and learning-from-demonstration methods; leverage negative data, human feedback, and corrective demonstrations; design and train Vision-Language-Action and Vision-Language models; implement and test models in simulation and on real robotic platforms; collaborate to translate research into scalable prototypes and publish results.

The role involves building external technology networks, identifying key industry trends, organizing technical events, and converting insights into collaboration opportunities.

Lead human-computer interaction and human-AI research focused on agentic AI and multimodal interfaces. Design mixed-method studies, prototypes, and evaluation rubrics; translate findings into product requirements, interaction models, and roadmaps. Collaborate with AI researchers, engineers, designers, and PMs to validate and iterate conversational agents, copilots, cross-device workflows, and accessibility/privacy-sensitive practices.

Develop and deploy deep learning models across vision, language, audio, and multimodal domains; build end-to-end workflows from data curation to on-device or cloud deployment; prototype and integrate generative and foundation-model research into product features; collaborate cross-functionally and publish or patent innovations.

Lead end-to-end product experience design for AI-powered, multimodal interactions. Translate research into product scenarios, create wireframes and high-fidelity prototypes, specify interactions, and collaborate with researchers and engineers to validate and move concepts toward product implementation.

Lead HCI and human-AI interaction research to inform next-generation intelligent products. Design and run mixed-method studies (qualitative and quantitative) across multimodal interfaces and devices, prototype human-AI workflows, evaluate trust, control, and AI quality metrics, and translate findings into product requirements, interaction models, and publications or patents while collaborating with engineers, designers, and product managers.

Manage end-to-end recruitment for Huawei Canada, focusing on sourcing candidates for technical roles and negotiating offers while collaborating with hiring managers.

Conduct independent research in speech and acoustic AI: design algorithms, perform literature review and data analysis, publish in top conferences, collaborate with cross-functional teams, present findings, and identify opportunities to apply research to Huawei products.