Top Research Jobs in Ottawa

Manages clinical research projects from initiation through closeout, coordinating sponsors, vendors, sites, and internal teams. Oversees budgets, timelines, site activation, recruitment, regulatory submissions, essential documents, training, monitoring support, data review, risk management, and study deliverables. Ensures compliance with SOPs, GCP, ICH standards, and applicable FDA and Canadian regulations while supporting quality and inspection readiness.

Bridge frontier multimodal research and product by shaping research priorities, interpreting evaluations, building prototypes, and defining research-to-product handoffs across Canvas, Agents, and the model platform to deliver enterprise-facing features.

Work across modeling, data, systems, and evaluation to make video foundation models expressive, controllable, and personalized. Build adaptation and personalization pipelines, define end-user quality metrics and evaluations, and collaborate with product and design to deploy production-ready model variants for creative partners.

Lead applied research on continual learning, fast adaptation, memory, and transfer learning for agentic systems. Own end-to-end pipeline from data generation to evaluation and product integration, run experiments, produce code, and drive research strategy while mentoring and managing a small team.

Design and optimize high-performance kernels and custom operators for attention, MoE, GEMM, quantization and collective communication across NVIDIA, AMD and AWS Trainium. Improve LLM inference runtimes, develop distributed training/inference solutions at scale, use compilers and SDKs (Neuron, Torch Dynamo, PyTorch/XLA), contribute to open-source, and publish technical findings.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.

Edit long- and short-form video content for YouTube and social platforms, adding motion graphics, captions, lower thirds, audio adjustments, color grading, and transitions. Organize assets and versions, collaborate with producers and designers, incorporate feedback, meet platform specifications, and deliver files in required formats and aspect ratios. The role also requires creative storytelling, quality assurance, deadline management, and submission of a video reel and editing sample.

Leads end-to-end delivery across nine concurrent media production workstreams, managing schedules, task tracking, vendors, budgets, reporting, risks, dependencies, and cross-functional handoffs. The role coordinates creative, technical, marketing, scholarly, and external production teams while maintaining production workflows and documentation. It also builds the studio’s reusable production playbook, improves operational processes, and supports timely launches across weekly programming, limited series, and short-form content.

The successful candidate will conduct research in experimental cellular and systems biophysics, focusing on neural and cardiac cells and their interconnections, and drive innovative collaborations for health advancements.

Design and implement portfolio-construction and trade-execution models, focusing on optimization, risk modeling, tax-aware execution, and backtesting. Translate research into production-quality systems, collaborate with investment and engineering teams, validate strategies against historical data, and maintain robust, scalable services for managing client portfolios.

The Software Developer will design optimization software, develop features, analyze algorithms, and collaborate with R&D teams to enhance product quality.

Join a security research team to develop analysis tools, review sandbox/VM and network modules, discover vulnerabilities and create PoC exploits for distributed systems, and publish findings. Research areas include malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud detection.

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.

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 Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.

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.

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.