Top Research Jobs in Toronto

Own design and implementation of the agent execution harness and orchestration runtime for enterprise-scale agentic AI. Ensure reliability, observability, prompt/versioning infrastructure, LLM integration and model routing, evaluation frameworks, and technical leadership to drive production-quality, cost-efficient AI workflows.

Graduate research internship to own end-to-end research on Customer World Models and proactive intelligence: design representations, develop methods (foundation models, RL, causal reasoning, agentic systems), run experiments, publish, and help ship ML systems that anticipate and act on customer needs.

Graduate research co-op focused on building Customer World Models and proactive intelligence: designing representation learning, foundation-model, reinforcement learning, and agentic systems; running experiments, publishing, and deploying research into production to improve long-horizon decision-making and customer-facing automation.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

Graduate research interns will own end-to-end projects developing customer world models and proactive intelligence. Work spans representation learning, foundation models, reinforcement learning, agentic decision systems, and evaluation. Tasks include designing methods, running experiments, publishing findings, and potentially shipping models into production to impact customer-facing products.

The intern will research and write grant applications to secure funding for NovaForge's programs, collaborating with teams and maintaining application pipelines.

Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.

Lead advanced quantitative analysis of primary market research using methods such as Conjoint, MaxDiff, segmentation, and regression. Design experiments, validate models, interpret results, advise on methodology, partner with cross-functional teams, mentor junior analysts, and help build analytics standards and tools to support multi-market consulting engagements.

The Director of Research for Power Markets will oversee the QA/QC process for long-term price forecasts and act as an advisor to leadership, ensuring rigorous review and internal expertise engagement throughout the forecasting cycle.

Lead and manage a research team developing agentic AI, focusing on reinforcement learning, transformer‑based generative models (LLMs, diffusion), and multi‑agent systems. Define research strategy, keep pace with state of the art, and build external academic and community relationships to position Skyfall as an AI leader.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Lead and establish the UX Research function: design and run mixed-methods research across product lifecycles, translate findings into actionable recommendations, manage and coach UX researchers, coordinate participant recruitment, and embed user insights into innovation and portfolio decisions.

Support cancer education research by planning and coordinating projects, conducting literature reviews and needs assessments, recruiting participants, performing Excel-based statistical analysis, drafting reports and proposals, maintaining program statistics, and liaising with patients and clinical staff.

The Senior Clinical Research Associate is responsible for site management, monitoring visits, training staff, and ensuring compliance with regulatory requirements in clinical research.

As a Research Scientist in Neural Reconstruction, you will develop algorithms for 3D/4D scene reconstruction using real-world sensor data, collaborate on large-scale simulation systems, publish research and mentor junior scientists.

Develop algorithms for World Models focusing on large-scale modeling for dynamic 4D environments. Conduct research in generative and predictive modeling, collaborate with engineers, and mentor junior scientists.

Conduct research to advance agentic systems by developing methods for planning, reasoning, and reinforcement learning with LLMs and multi-agent systems; build experiments and datasets to improve LLM performance in complex workflows; stay current with academic advances.

Coordinate and manage Phase I clinical trials including participant recruitment and consent, visit coordination, safety assessments, medication administration, sample collection/processing/shipment, and documentation. Provide clinical care per protocol and ensure compliance with ICH/GCP and UHN policies.

Coordinate and manage patient activities for oncology clinical trials including sample collection/processing/shipment, assessments (vitals, ECGs), treatment administration per protocol, data collection and source documentation, and ensure compliance with ICH/GCP and institutional policies.

Support Quantitative Research team by assisting analysts and portfolio managers with development of portfolio management models, research projects, report generation and automation, and ad hoc data requests. Work with large, disparate datasets and apply programming and NLP/LLM techniques to identify quantitative opportunities and monitor quantitative portfolios.

Lead and operationalize frontier AI research into scalable, production-ready capabilities. Set strategy for applied AI R&D, oversee multidisciplinary teams, build platforms and evaluation frameworks, ensure governance and responsible AI, and partner across product, engineering, data, and business to deliver measurable enterprise value.

Lead end-to-end consumer research programs (qualitative and quantitative), design methods, run segmentation and multivariate analysis, generate actionable insights to inform strategy, pilot new methods including AI approaches, partner with cross-functional teams, present to senior clients, and coach junior researchers while managing budgets, timelines and resources.

Lead a research engineering team to deliver AI solutions from prototype to production. Manage cross-functional delivery with product and applied scientists, drive technical roadmap and infrastructure, mentor engineers, champion advanced engineering practices, and own rollout of business-critical, customer-facing features while balancing technical debt and scalability.

As an Applied Research Scientist, you will lead the development of scalable GenAI applications, innovate AI strategies, publish research, and mentor junior staff, while leveraging your expertise in cloud development and LLMs.

The Research Scientist will develop and enhance simulation agents using advanced machine learning techniques, mentor junior team members, and publish research findings.