Top Research Jobs in Toronto

The Vulnerability Research Intern will research security vulnerabilities, write reports, develop detection signatures, and collaborate with other researchers.

As an intern at Adobe Research, you will tackle research problems, develop algorithms, run experiments, and present your findings under a mentor's guidance.

The Lead UX Researcher manages a team to understand user needs, oversees research methodologies, and collaborates with design leads to improve product design while using data-driven insights.

The PhD Intern will collaborate on research projects in HCI and visualization, create software prototypes, conduct experiments, and analyze data while authoring a research paper and video.

The Research Analyst will prepare research publications, monitor industry trends, communicate findings, manage data, and support quality control processes.

Monitor clinical studies, ensuring compliance with protocols and regulations. Requires clinical monitoring experience and ability to travel extensively.

The role involves analyzing corporate governance documents, supporting proxy voting recommendations, and assisting the research team with various tasks related to governance and shareholder rights.

The intern will contribute to AI research projects for self-driving technology, developing algorithms in various areas such as perception and planning.

The Senior Principal Research Engineer will lead the development of machine learning models and data pipelines for the AEC Solutions team, mentor junior engineers, and drive technical initiatives.

Manage engineering programs for generative machine learning models, ensuring cross-functional alignment, process improvement, and communication flow to enhance project execution.

The Intern, Equity Research will support equity analysis and collaborate with analysts and portfolio managers, focusing on financial analysis and research in asset management.

The role involves providing research support in the metals and mining sector, developing financial models, conducting research, and assisting with reports and presentations.

As an AI Research Scientist, you will develop ML models, lead research projects, review AI literature, and explore new data sources.

As a Platform Research Specialist, you will ensure high-quality survey experiences by managing client projects, applying survey best practices, and providing customer support.

Lead and oversee product design and research, shaping design strategy, enhancing user experience, and mentoring a diverse design team.

The Senior Analyst will oversee external manager research and ensure consistent alpha generation within the MAP program, leveraging data analysis for actionable investment insights.

As a Senior Research Engineer, you will optimize language and vision models on Cerebras hardware, focusing on high-performance ML inference techniques.

The Expert Reviewer will evaluate writing quality by reviewing and editing AI critiques of writing samples, participating in workshops to refine feedback templates for GPTZero's new product.

The Research Assistant will support site activities for assigned projects, manage communications, perform data entry, and assist with study-related activities.

The Research Scientist will develop models for natural hazards, evaluate scientific literature, clean data, and implement projects using Python and GIS tools.

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

The On-site Research Assistant will support research projects, ensuring accurate data collection and compliance with regulatory standards in the healthcare sector.

The role involves refining asset allocation through data-driven analysis, collaborating across teams, and translating investment needs into data models. The goal is to ensure competitive investment products that empower clients with financial freedom.

The M&A Research Analyst role involves screening M&A prospects, conducting primary research, managing data quality, and reporting on KPIs to support investment strategies.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.