Top Tech Jobs & Startup Jobs in Toronto

Manage distributor and retail channel sales across Canada, including sell-in, inventory, order fulfillment, payment collections, sell-through analysis, retail merchandising, audits, and partner relationships. The role drives sales targets, ensures product availability and brand-standard execution in stores, identifies new channel partners, and coordinates mitigation plans for excess or aging inventory.

Research and develop advanced networking technologies and protocols for AI infrastructure, cloud, and data-center networks. The role involves designing technical roadmaps, optimizing network performance, addressing distributed systems challenges, and deploying innovations involving RDMA, routing, congestion control, topology design, and resource allocation. The researcher will also collaborate with academic and industry professionals and connect technical research with product strategies.

Research and develop an open-source agent framework, including architecture, abstractions, tooling, developer experience, self-evolution, and multi-agent collaboration. Analyze emerging agent projects such as OpenClaw and Hermes, integrate effective innovations, and deploy the framework in business and consumer products. Gather developer and product feedback to improve the framework. The role requires Python expertise, LLM knowledge, and familiarity with agent frameworks.

Lead research for AI-native data platforms, including vector data lakes, intelligent caching, RAG retrieval, agent memory, knowledge bases, indexing, hybrid search, and context freshness. Design prototypes, publish at leading venues, secure patents, collaborate with product and engineering teams, represent the organization externally, and mentor researchers and PhD interns.

Manages end-to-end technical recruiting, including sourcing niche talent, talent mapping, interviewing, compensation negotiations, offers, documentation, and hiring approvals. Partners with hiring managers, supports recruitment initiatives and career events, and participates in high-volume co-op hiring cycles. Requires technology-sector recruiting experience, interest in AI, strong communication, relationship-building, organization, and the ability to manage multiple vacancies independently.

Conduct research in Physical AI, Embodied AI, and Spatial AI, developing robotic foundation models, world models, multimodal systems, planning, reasoning, imitation learning, reinforcement learning, and control methods. Translate research into production-ready code, run experiments in simulation and on real robots, collect and analyze data, collaborate with infrastructure and robotics teams, and contribute to patents and publications at leading AI and robotics venues.

Conduct research on AI agents, LLMs, VLMs, code generation, and multimodal AI. Develop GUI, coding, web, mobile, and computer-use agents; create training pipelines, datasets, benchmarks, and evaluation frameworks; and investigate supervised fine-tuning, reinforcement learning, tool use, and function calling. Analyze experiments, publish findings, collaborate with engineering and product teams, and translate research prototypes into practical technologies.

Build prototypes for multimodal AI and human-machine interaction on real devices. Integrate speech, vision, language, and multimodal models; implement interactions combining voice, touch, gesture, motion, and sensor inputs; and evaluate on-device versus cloud AI trade-offs. Collaborate with researchers and designers, iterate based on experiments, debug implementations, and use ML frameworks for inference, fine-tuning, and evaluation.

Lead research in computer vision, spatial perception, and human-centered AI. Develop real-time 2D/3D vision, tracking, gesture recognition, compact model, and agentic AI systems. Integrate foundation models with efficient perception pipelines, optimize for hardware constraints, establish datasets and evaluation metrics, build prototypes, support product integration, and mentor researchers and engineers.

Develop state-of-the-art artificial intelligence and computer vision algorithms for publication and integration into Huawei products. Design and implement real-world AI/CV solutions, collaborate with research scientists and engineers, and supervise interns. The role focuses on video generation, 3D computer vision, machine learning, and rapid research prototyping.