Top Research Jobs in Toronto

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.

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.

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.

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

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.

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.

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.

As a Research Scientist in Neural Reconstruction, you will develop algorithms for 3D/4D scene reconstruction using real-world sensor data, collaborate on large-scale simulation systems, publish research and mentor junior scientists.

Develop algorithms for World Models focusing on large-scale modeling for dynamic 4D environments. Conduct research in generative and predictive modeling, collaborate with engineers, and mentor junior scientists.

Founding research hire to develop clinical reasoning and computer-use models using proprietary hospital and clinic data. Own end-to-end training and evaluation pipelines, design benchmarks exposing LLM weaknesses on clinical reasoning, run experiments, and publish technical reports and papers. Collaborate closely with founders and deploy research into products that improve physician workflows.

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

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

Perform and scale assays to quantify immunogenicity of engineered proteins in vitro, run high-throughput immune characterization workflows, maintain lab records and inventories, analyze and present data, and collaborate across teams to inform protein de-immunization efforts.

Perform site qualification, initiation, monitoring, management and close-out visits (on-site or remote) ensuring ICH-GCP/GPP and protocol compliance. Verify informed consent, perform source document review and CRF verification, manage investigational product inventory, reconcile ISF with TMF, document monitoring activities, support recruitment and audit readiness, liaise with sponsor and site staff, and may mentor junior CRAs or support RW late-phase activities.

The Research Scientist will develop and enhance simulation agents using advanced machine learning techniques, mentor junior team members, and publish research findings.

Operate and improve an in-house AAV vector core: run weekly AAV production from cell culture through purification, perform QC assays (titer, purity, genome integrity), maintain ELN lot records and inventories, follow and update SOPs, troubleshoot production issues, and coordinate handoffs with program teams to ensure consistent, high-quality vectors.

Perform site qualification, initiation, monitoring (on-site or remote) and close-out to ensure ICH-GCP/GPP and protocol compliance. Verify informed consent, source documents, CRF data, IP handling, ISF/TMF reconciliation, and query resolution. Document activities, support recruitment/retention, prepare for audits, train/mentor junior CRAs, and manage site communications and timelines. May support Real-World Late Phase tasks including chart abstraction and country-level regulatory coordination.

Lead planning, execution, monitoring, and closeout of Phase I/II clinical trials. Manage budgets, timelines, vendors, TMF, site activation, regulatory submissions, risk mitigation, stakeholder communications, and CRA oversight to ensure GCP/ICH/FDA and Health Canada compliance.

Translate historical Persian, Braj, and related primary sources into clear, accessible English for the Sikh History Project. Collaborate with researchers and advisors to select texts, estimate timelines, incorporate feedback, flag ambiguous passages, and maintain consistent terminology and Gurmat-informed contextual accuracy across translations and supporting factsheets and analytical materials.