Top Research Jobs in Toronto

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.

Conduct end-to-end qualitative and quantitative research (surveys, scripting, analysis) to generate strategic insights for clients. Manage multiple projects, collaborate cross-functionally, and produce deliverables using statistical tools and survey platforms.

Design and build the agent execution harness and orchestration runtime to run LLM agents reliably at enterprise scale. Improve fault tolerance, latency, and throughput; add observability, prompt/versioning infrastructure, evaluation suites; integrate frontier LLMs and manage model routing/cost tradeoffs. Provide technical leadership, architecture decisions, and define system boundaries for agent behavior.

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.

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.

As a Manager Research Analyst, you'll conduct quantitative and qualitative analysis on funds and investment vehicles, providing insights and ratings for investors while collaborating with a team dedicated to high-quality research.

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.

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 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.

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

Support alternatives investment manager due diligence: conduct and document manager reviews, prepare research reports and meeting minutes, analyze asset managers and mandates, maintain research tools, internal databases, and IMR websites, produce reporting and ad-hoc analyses, and collaborate with internal and external stakeholders.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.

As a Research Engineer, you will develop algorithms for world models focusing on generative and predictive modeling within complex environments, optimizing model deployment, and collaborating with research teams.

As a Research Scientist, you will design AI technologies for motion planning in self-driving trucks, focusing on deep learning and seamless integration into production systems.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

Research Scientists at Waabi will lead AI projects to develop algorithms for self-driving technology, collaborate on solution deployment, and publish research at conferences.

Execute sourcing and contract activities for R&D categories: conduct market and internal analysis, negotiate contracts and budgets, manage suppliers, improve procurement content and automation, support stakeholder demand, and deliver process and project improvements.

The Senior Clinical Research Associate will monitor clinical studies compliance and conduct, ensuring adherence to protocols and regulations. Responsibilities include overseeing trials at sites and preparing reports.

The Senior Clinical Research Associate monitors clinical studies, ensuring they comply with protocols and regulations while documenting progress both on-site and remotely.

The Applied Machine Learning Research Scientist will translate ML techniques into scalable systems, improve LLM performance, and optimize workflows while collaborating closely with researchers and engineers.

As a Research Engineer in Sensor Signal Processing, you will design and implement signal processing techniques for autonomous driving, working with various sensor data and optimizing algorithms for high performance.

Lead development and governance of enterprise Scope 1 and 2 emissions targets, forecasting, prioritization, and multi-year reduction planning. Build methodologies, scorecards, scenario analysis, and prioritization frameworks. Partner across teams to translate regulatory requirements, support carbon governance, and inform funding and strategic decisions toward the enterprise net-zero (2050) pathway.

Support and manage a dry-lab research program in general and bariatric surgery: protocol and REB development, grant and manuscript preparation, statistical analysis, participant recruitment, supervise trainees, coordinate meetings, and collaborate with investigators and external researchers.

As Operations Lead, oversee delivery excellence in Digital R&D Data and AI platforms, ensuring strategy alignment, value delivery, and performance monitoring.

Intern will be part of a team developing AI algorithms for Autonomous Vehicles, contributing to research projects and publications.