Top Research Jobs in Toronto

The Research Engineer will design agentic software systems, focusing on AI agents' collaboration in software engineering, prototype frameworks, and optimize engineering processes.

Develop the post-training pipeline for text-to-image foundation models, focusing on techniques like RLHF and RLAIF, while contributing to research and maintaining fine-tuning pipelines.

You will advance visual generative models through large-scale pre-training for text-to-image models, shaping algorithms and data systems. Work collaboratively on innovative projects that impact millions of users.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

The role involves refining and personalizing Luma's multimodal AI models, improving their controllability and adaptability for creative workflows, while collaborating with cross-functional teams.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

The role focuses on refining Luma's foundation models for better controllability and personalization while collaborating across research, product, and design teams.

Seeking a Research Scientist/Engineer to design and optimize distributed training systems for large-scale multimodal AI models using thousands of GPUs.

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.

The role focuses on optimizing AI models for efficiency, involving GPU/CPU code profiling, high-performance programming, and developing performance tools.

The Full Stack Engineer will design and build web applications and APIs for research systems at eBay, focusing on performance and reliability while collaborating across teams to deliver features from design to deployment.

The VP of R&D will lead product development, manage teams across the US and Canada, ensure timely delivery of projects, and drive innovation in alignment with business strategies.

Lead the Research and Insights function, overseeing customer research activities, managing the full research lifecycle, and transforming insights into actionable recommendations while leading a high-performing team.

Lead the design, training, and scaling of transformer-based models, while developing ML systems and enhancing data pipelines. Collaborate to ensure model performance and applicability to business needs.

Conduct site qualification, initiation, monitoring, management, and close-out visits to ensure protocol, regulatory and ICH/GCP compliance. Review source documents and CRFs, manage queries, investigational product handling, ISF/TMF reconciliation, documentation, and support audit readiness. Act as liaison with sites and sponsors, support recruitment/retention, and may train junior staff. Heavy travel (up to 75%).

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

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

The research engineer will focus on solving the structure from motion problem, contributing to 3D reconstruction in various industries using AI.

The role involves advancing free energy methods in drug discovery, optimizing protocols, coding tools, and collaborating with cross-functional teams. Responsibilities include managing binding free energy calculations and ensuring method efficacy for project decisions.

Research and build efficient ML systems for large-scale LLMs and agentic RL: design algorithms and system techniques, prototype in training/inference stacks, run large-scale experiments, and translate findings into production or publications.

Lead and grow an applied AI training research practice that delivers measurable client outcomes. Oversee benchmarking, data strategy, RL environment development, and cross-functional pods to ensure research outputs are deployable, scalable, and commercially impactful. Support pre-sales, scope engagements, and act as executive sponsor on strategic accounts to drive retention and revenue.

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.

Design, train, evaluate, and optimize agent-native LLMs and RAG pipelines for enterprise use. Build training and RL pipelines (RLHF/DPO/PPO), embedding-based memory, evaluation harnesses, observability, and inference optimization across cloud and on-prem environments.

Lead design and execution of a 3–5 year fundraising strategy; personally cultivate and close five- and six-figure major gifts; manage donor CRM, reporting, dashboards, and fundraising collateral; partner with CEO and Board for donor engagement; align projects to donor goals; mentor a small fundraising team; track performance against KPIs; travel for donor meetings and events.

This role involves researching MEA types, developing novel MEAs, preparing reports, collaborating with teams, and writing scientific publications.