Top Research Jobs in Toronto

Design, build, test, and deliver scalable machine-learning and NLP systems and large-scale data pipelines. Integrate ML models into production, write maintainable tested code, collaborate cross-functionally, and drive research-to-product development in an agile environment.

Coordinate and manage preventive oncology (non-therapeutic) research studies: recruit and consent participants, schedule visits, collect samples and vitals, perform venipuncture, document in Epic, ensure ICH-GCP compliance, assist with data entry, regulatory/ethics submissions, and study administration.

Lead identification, evaluation, and onboarding of external managers and strategies for a multi-strategy platform. Conduct manager due diligence, assess portfolio impact, structure allocations, coordinate prime brokerage and operations, and present recommendations to senior leadership while managing onboarding, legal, and compliance considerations.

The Senior Research Scientist will innovate and optimize models for real-time learning, collaborating across domains to enhance efficiency and impact, with a strong focus on practical applications and measurable outcomes.

Lead full-chip DFT architecture and implementation including scan, compression, MBIST/BIST, ATPG vector generation, gate-level verification, and silicon debug. Collaborate with STA, physical design, memory compiler, and test teams to ensure production-ready silicon with high test coverage and diagnostic capability, and support bring-up and debug on silicon.

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

Design, build, and operate large-scale RL post-training systems for multimodal foundation models: distributed training, high-throughput rollout generation, environment and reward infrastructure, evaluation and debugging tooling, and efficiency/stability improvements. Collaborate with researchers to productionize RL methods and run stable RL training across thousands of GPUs.

Conduct market and competitive intelligence research for quantum computing products; track competitors, patents, publications, financial signals, and industry trends. Use AI-enabled tools and dashboards (Tableau/Power BI/Python) to gather, analyze, and visualize data. Produce reports and presentations to inform product strategy and support cross-functional teams.

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.

Support data collection, entry, analysis, and interpretation for market research projects. Prepare reports and presentations, assist senior researchers and project managers with analytical tasks, and contribute to team meetings and brainstorming sessions.

Lead research-driven branded content for Skift Studio: design and run sponsor-funded surveys, analyze data, translate findings into reports and multi-format content, manage freelancers and sponsor relationships, use AI tools to accelerate workflows, and research/script/host partner events and webinars while collaborating with sales and internal teams to pitch and deliver high-impact programs.

Provide high-level administrative and operational support to executive and senior leadership: manage complex calendars and inboxes, coordinate meetings, travel, and board materials, maintain confidential records, publish internal communications via SharePoint, and partner with HR on employee engagement and events. Improve processes using Microsoft 365 and AI tools.

Lead long-horizon R&D to define future decision intelligence: explore reasoning architectures, prototype and formalize system primitives, evaluate new signal classes, and translate research into reusable components aligned to strategic product direction.

Build and maintain experimental decision-system prototypes, evaluation tooling, simulation environments, and research infrastructure to enable rapid iteration and validation of research concepts in real-world constraints.

Apply formal decision theory and structured reasoning to enterprise problems: design decision frameworks, model uncertainty and tradeoffs, test decision architectures, run experiments, and translate research into system-ready primitives collaborating with engineering and product teams.

Remote, contract equity research role requiring at least 2 years' experience at top firms. Analyze and extract information from public SEC filings. Minimum 10 hours/week for at least four weeks. Independent-contractor engagement with weekly payments via Stripe or Wise. U.S./Canada-based applicants only; no H-1B or STEM OPT sponsorship.

Manage site relationships and monitor clinical trials to ensure participant safety and data integrity per ICH GCP, regulatory requirements, and sponsor/SOPs. Conduct site selection, initiation, monitoring, and close-out visits (onsite or remote), support regulatory submissions and TMF/CTMS maintenance, drive recruitment, report study progress, escalate issues, and assist project managers to ensure timely study execution.

Lead development of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks to enhance molecular engineering and experimentations.

The role involves designing de novo frameworks for molecular engineering, collaborating across teams to optimize data-driven biological experiments and integrating ML models with experimental systems.

As a Research Associate at Merge Labs, you will conduct experiments in molecular biology, protein biochemistry, cell biology, and neuroscience, while collaborating across disciplines to advance core biological research and build experimental capabilities.

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

Design, develop, and test software for software analytics, source-code mining, software analysis, reverse engineering, and migration. Rapidly prototype research ideas into code transformations and prototypes, collaborate with product teams to integrate solutions into Huawei products, and apply computer vision and machine learning expertise to advance applied 3D AI research.

Partner with People Operations to support employees across Canada and the U.S. Manage onboarding, offboarding, HRIS and benefits administration, employee relations, leave and compliance. Prepare workforce reports, drive process improvements using HR technology and AI, support audits and strategic projects, and provide backup recruitment support while building cross-functional relationships to deliver excellent employee experiences.

Lead development and refactor optimization algorithms in Python for pricing and supply‑chain problems. Design and implement predictive models and mathematical optimization solutions, collaborate with cross‑functional teams, coach data scientists, and translate business requirements into data‑driven pricing and replenishment strategies.

Lead development and governance of Canopy's data, research, and knowledge systems. Coordinate cross-team research, establish data quality and provenance standards, oversee dashboards/maps/calculators and AI-enabled workflows, translate technical research for non-specialists, and manage internal staff plus external researchers to support reports, decision tools, and thought leadership.