Top Research Jobs in Toronto

Lead and manage a research team focused on foundational ML research and development, particularly for LLMs, in collaboration with academic partners. The role involves strategic planning, innovation, and contributions to high-quality research publications.

As a Research Scientist Manager, you will lead a global team in foundational research, focusing on AI systems, LLM training, data-centric ML, and innovation through collaboration, experimentation, and publication of findings.

The Senior Research Engineer will develop and deliver scalable ML solutions, build data processing pipelines, and communicate effectively within a collaborative team, while innovating through modern software development practices.

The Research Scientist will conduct foundational machine learning research, innovate AI/LLM systems, and publish findings while collaborating with a global team and engaging in the academic community.

The role involves analyzing email threats, developing detection signatures, and maintaining Python tools for cybersecurity against phishing and malware. The candidate will work with large datasets and collaborate with a distributed team.

The Equity Research Intern conducts fundamental research on industries and companies, performing analysis and financial modeling under guidance, and collaborates with team members on various projects.

Build and optimize research infrastructure, design scalable LLM-powered applications, ensure reliability and performance across systems, and integrate research findings into production.

The role involves optimizing bioanalytical methods for protein production and purification, conducting laboratory work, documentation, and supporting quality control tasks in a biotech setting.

The Research Support Specialist monitors and responds to research requests from the Contact Centre, investigates issues, provides feedback for coaching, and ensures effective resolution of service issues to enhance the investor experience.

Assist in security research by developing analysis tools, discovering vulnerabilities, and publishing findings in various venues. Ideal for Master's or PhD students in related fields.

The Senior Applied Science role involves designing AI solutions that enhance products, managing model development, and collaborating with engineers in an agile setting.

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.

Lead marketing initiatives at Whetstone Research, create digital content, manage contributors, and prioritize strategies in blockchain and crypto.

The Frontend Engineer will implement UI features, automate UI testing, and oversee production releases while focusing on user experience in the blockchain space.

The Protocol Researcher will focus on researching mechanisms for decentralized finance, designing new protocols like Doppler, and collaborating with engineering to build these ideas.

Design and implement features for a smart contracts protocol, testing performance, and ensuring successful deployments.

The Backend Engineer will implement new SDK and Indexer features, automate testing, support integration, and oversee production releases.

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

The Senior Product Researcher will lead strategic research efforts, showcase qualitative research expertise, and drive impactful product insights while collaborating with stakeholders across the organization.

The Research Analyst conducts legal and business research for law firm clients, utilizing various databases and tracking software, while assisting staff in research methods and maintaining professionalism.

As a Senior/Staff Research Engineer, you will develop simulation software for autonomous driving, focusing on architecture, data pipelines, and productionizing research.

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

The Research Scientist will develop algorithms for world simulation models, conduct research in generative modeling, collaborate on integrations, and mentor junior staff.

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.