Top Research Jobs in Toronto

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.

Leads development of Refugee Lens Investing Canada by building university and institutional partnerships, coordinating major competitive research funding applications, securing core and project funding, establishing governance and operating structures, and creating a national Community of Practice. The role coordinates researchers, funders, nonprofits, investors, and government partners while developing research agendas, funding pipelines, budgets, partnership models, and sustainable operating plans.

Conduct advanced predictive modeling and actuarial research using structured and unstructured insurance, telematics, geospatial, and climate data. Advise pricing, underwriting, actuarial, and innovation partners; develop and improve analytical processes; evaluate emerging analytics methods; communicate results to management; and support strategic projects and decision-making committees.

Supports clinical and health services research in emergency departments through participant screening, recruitment, consent, interviews, surveys, follow-up, data collection, entry, and quality control. Maintains research records, ethics documentation, study files, and participant confidentiality. May prepare and process biological specimens, assist with research-related testing, and support study administration, adverse-event reporting, and protocol compliance. The role is fully in person and includes daytime, evening, and weekend shifts.

Oversee clinical research operations for early cancer detection and oncology studies, including patient referrals, screening, consent, specimen collection, follow-up, data quality, REDCap/EDC workflows, laboratory coordination, vendor relationships, regulatory compliance, audit readiness, and process improvement. Lead and mentor research trainees, develop SOPs and training materials, coordinate multidisciplinary stakeholders, and support strategic clinical research initiatives.

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.

Conduct applied AI research across foundation models, multi-agent AI, responsible AI, deep learning, NLP, predictive modeling, and generative AI. Evaluate research, develop and optimize large-scale models, and support production implementation using GPU-accelerated training. Collaborate with AI scientists, engineers, product leaders, academic researchers, and faculty to advance practical AI solutions. The role requires strong research, coding, publication, and interdisciplinary expertise.

Supports and enhances quantitative investment systems, systematic trading, portfolio operations, risk analysis, P&L attribution, model deployment, and portfolio analytics. Partners with quantitative researchers, traders, and technology teams to improve trading platforms, operational processes, software quality, and execution methodologies. Requires strong programming skills, financial markets knowledge, and the ability to independently resolve complex trading and operational issues.

Design and implement large-scale optimization models and production services for workforce planning, scheduling, forecasting, and resource allocation. Build OR-Tools/CP-SAT constraint models, define schedule-quality metrics, validate algorithm performance, and integrate optimization capabilities into an enterprise workforce-management platform. Collaborate with product, architecture, engineering, and workforce-planning stakeholders to translate business requirements into mathematical models and operationally usable schedules.

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.

Oversee clinical trial site monitoring for respiratory and cardiovascular studies, ensuring protocol, regulatory, and GCP compliance. Conduct site visits, resolve performance issues, support data collection, train site staff and CRAs, and maintain stakeholder relationships. Manage multiple sites and projects while promoting data integrity, quality, and continuous improvement. The role requires approximately 60% travel.

Leads AI research teams and guides advanced research initiatives from experimentation through production adoption. Evaluates emerging AI methods, oversees rigorous benchmarking and validation, builds academic and internal partnerships, and collaborates with engineering, product, and business teams. The role balances exploratory research with enterprise delivery while advancing responsible, secure, reliable, and scalable AI capabilities. It also influences AI strategy, technical investment decisions, and organizational standards for research excellence.

Supports clinical research studies in breast surgical oncology by assisting with participant screening, recruitment, informed consent, scheduling, communication, data collection, source documentation, regulatory submissions, adverse event tracking, and study file management. The role requires adherence to study protocols, research ethics, UHN policies, and Good Clinical Practice guidelines while coordinating with clinical and research teams.

Conduct research and develop innovative machine learning solutions for enterprise banking applications. The role provides AI/ML thought leadership, applies advanced techniques to generate business insights, collaborates with data and engineering teams, and leads research and development in an AI subfield. Responsibilities include designing analytic solutions, conducting research, publishing findings, mentoring colleagues, managing risk and governance, and partnering with business stakeholders.

Conduct a research project in 3D reconstruction, neural rendering, diffusion-based spatial modeling, or world models. Implement and evaluate research techniques, work with captured multi-sensor data, build experiment and evaluation tooling, and clearly present and document findings. Candidates must be enrolled in a relevant degree program, have peer-reviewed publications and strong research experience, and be proficient in Python and deep learning frameworks.

Develop and improve novel mass spectrometry applications, evaluate research opportunities, and mature innovations into commercial technologies. The role applies advanced expertise in instrument control, AI, and software development, collaborates cross-functionally, supports customer and marketing initiatives, evaluates business opportunities, and represents the company at conferences. Candidates need an advanced science degree, over 10 years of mass spectrometry experience, a strong publication record, and demonstrated research innovation.

Manage quantitative and mixed-methodology shopper research projects from brief through final delivery. Serve as primary client contact, design samples and questionnaires, oversee fieldwork and suppliers, monitor budgets and timelines, analyze data, and present actionable insights. Delegate and review project tasks, moderate qualitative research, develop client relationships, mentor team members, and explore AI and automation opportunities to improve research delivery.

Manages quantitative and mixed-method research projects from initial brief through final delivery. Responsibilities include designing samples and questionnaires, overseeing fieldwork and suppliers, delegating research tasks, analyzing data, developing insights, creating reports, presenting recommendations, moderating qualitative research, and managing client relationships, project timelines, and budgets.

Designs and conducts experiments on OLED devices and advanced materials, operates and maintains R&D equipment, analyzes and presents experimental data, collaborates with software and facility engineers, troubleshoots equipment, documents results, and supports safe laboratory operations.

Leads research, innovation pipeline development, strategic opportunity assessment, and cross-functional initiatives for corporate underwriting. Evaluates market trends, emerging risks, portfolio performance, profitability, and growth opportunities while developing business recommendations and guiding initiatives from concept through execution. Partners with underwriting, claims, actuarial, reinsurance, technology, and distribution teams, and coaches team members including a Project Manager. Requires extensive commercial property and casualty insurance expertise, leadership experience, and strong project governance capabilities.

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.

Runs biology and chemistry laboratory protocols, records filmed procedures, maintains detailed experimental traceability, manages materials and equipment, troubleshoots technical issues, and improves laboratory workflows. The role produces reliable scientific datasets for robotics and embodied AI systems and requires hands-on wet-lab, robotics, automation, and scientific communication skills.