Top Research Jobs in Toronto

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

Leads AI R&D initiatives, managing cross-functional teams, project scope, resources, schedules, risks, roadmaps, and requirements. Partners with the AI Director, coordinates teams across North America and Europe, removes delivery blockers, improves production processes, and maintains external partnerships. The role emphasizes team empowerment, Agile collaboration, communication, analytical problem-solving, and delivery of AI, research, or game-development projects.

Lead research program execution for AI-driven scientific discovery. Partner with research leaders to define priorities, hypotheses, milestones, evidence plans, KPIs, and expected outcomes. Manage the research portfolio and ROI framework, establish operating rhythms, track investment and progress, identify stalled or low-value initiatives, and drive decisions to iterate, redirect, pause, or stop work. Translate research progress and tradeoffs for Product, Engineering, and leadership while supporting the transition of successful research into product capabilities.

Create monthly investor insights, investment materials, financial planning content, and timely market notes for Wealthsimple clients. Research market developments, synthesize complex investment concepts into clear and engaging writing, exercise editorial judgment, and use AI tools to refine standard content. The role partners with investment and editorial teams while requiring strong financial literacy, investment judgment, curiosity, independence, and familiarity with Canadian wealth management or retail investment products.

Leads skincare product research and innovation from opportunity identification through launch. Translates scientific, consumer, and market insights into differentiated product concepts, evaluates ingredients and efficacy data, assesses technical and regulatory feasibility, and coordinates product testing and validation. Develops claims strategies and substantiation dossiers while partnering with Marketing, Regulatory, Clinical, Legal, Procurement, Operations, and Medical teams. Represents R&D in governance reviews and supports scientific communications, training, and launch materials.

Lead generative UX and market research to identify emerging opportunities, assess markets, define ICPs and value propositions, and shape product and business strategy. Influence senior leaders, partner with analytics, product, design, marketing, sales, and client services, and translate insights into investment and go-to-market decisions. Coach researchers, improve UXR processes, and integrate AI into scalable research workflows.

Lead, coach, and grow a team of UX researchers supporting Stripe Payments and Risk products. Conduct and guide mixed-methods research, translate user insights into product strategy, establish research programs and infrastructure, and enable cross-functional teams to apply research practices. Partner with product, design, business, and executive leaders while guiding AI-driven improvements to research processes and sourcing external research vendors.

The role involves researching and prototyping security technologies for OS and device protection, analyzing threats, and developing innovative security features.

The Database Research Expert will lead the architecture design for a data analytics platform, optimize database performance, and guide research on innovative database technologies.

Lead the development of competitive bus architectures and interconnection protocols for AI and computing. Innovate in chip design and ensure business success through system-level solutions.

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

Lead end-to-end win/loss/churn research programs: onboard customers, conduct high-signal interviews, analyze findings, and deliver actionable reports. Train and tune AI interviewers, improve workflows, partner with customers and CSMs to drive renewal and expansion, and scale research through AI while preserving human-led high-trust conversations.

Develop and implement quantitative trading models, analyze financial data, and create new trading indicators. Strong analytical skills required.

Supports Phase I-IV clinical research studies across multiple Toronto-area sites. Responsibilities include participant recruitment and consent, phlebotomy, vitals and ECGs, follow-up visits, sample processing, data entry, chart and query reviews, adverse-event reporting, investigational product accountability, documentation, and audit preparation. Regular travel between sites is required.

Conduct market, industry, fund performance, investor behavior, and macroeconomic research; synthesize internal and external data; draft research notes, fund commentary, whitepapers, and industry updates; and embed auditable AI tools into research workflows. Collaborate with asset management, investor administration, marketing, and compliance teams while supporting the Chief Economist’s market outlook and commentary.

As a Research Machine Learning Scientist, you will develop and apply deep learning techniques on large-scale datasets while collaborating with engineers. You will also research and innovate in AI applications to improve banking services.

Supports Equity Research production through database administration, publishing, reporting, CRM and analytics. The role extracts and manipulates data, develops Global Equity Products reports, investigates data integrity issues, performs financial and business analysis, and provides insights for Capital Markets performance and strategy. It also identifies opportunities to automate reporting and improve database processes while collaborating with Operations, Technology, and business stakeholders.

Develop experimental AI techniques for agentic marketing applications, especially image and video generation. Build proofs of concept, autonomous evaluation and improvement systems, realistic AI-generated video, and brand-aligned creative generation workflows. The role requires strong quantitative and probabilistic thinking, backend architecture skills, creativity with LLM applications, and product intuition.

Manage full-cycle recruiting, including sourcing, screening, interviews, candidate communication, offers, background checks, and onboarding transitions. Partner with hiring managers to define recruitment needs and strategies, maintain applicant tracking systems, support employer branding and social media initiatives, produce recruiting analytics, and lead talent acquisition projects. The role requires bilingual French and English communication, HR knowledge, confidentiality, and familiarity with clinical practices and Health Canada and FDA guidelines.

Build and own ML infrastructure for distributed training, inference, experiment tracking, model registries, and CI/CD. Enable active-learning and closed-loop optimization, collaborate with computational scientists, and mentor colleagues to translate research prototypes to production-grade systems.

Leads portfolios of dermatology and rheumatology clinical studies, overseeing Project Managers, budgets, vendors, timelines, quality, regulatory compliance, risk mitigation, client relationships, and proposal development. The role manages multinational Phase III trials and provides therapeutic and operational leadership across study teams.

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.

Act as a technical advisor to academic AI labs working on foundational models. Identify research workloads suited to NVIDIA platforms, engage researchers to remove infrastructure blockers, track frontier research, partner with internal teams to drive adoption, translate academic feedback into product and program improvements, and support NVIDIA participation at major research venues through content, workshops, and lab programs.

Manages clinical trial investigator sites from activation through close-out, ensuring patient safety, GCP compliance, protocol adherence, data quality, and timely study execution. Responsibilities include onsite and remote monitoring, site relationship management, investigator and staff training, recruitment support, adverse event follow-up, investigational product oversight, issue resolution, CAPA remediation, documentation, audit support, and database release activities. Requires extensive clinical research monitoring experience and frequent travel.

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