Top Research Scientist Jobs in Ottawa

Conduct research for an AI-for-science benchmark by validating AI-generated paper reproductions, simulations, and results; mapping research areas; defining evaluation standards; creating benchmark tasks; and contributing to a publicly released paper and evaluation set as a lead or first author.

Conduct applied research on foundation models for real-time fraud detection using large-scale behavioral and sequential data. Design experiments, benchmarks, holdouts, and monitoring systems; develop models from data preparation through deployment; and optimize training and inference efficiency. Collaborate with engineering, client-facing teams, legal, compliance, and customers to productionize models and establish explainability, governance, and risk documentation.

Explore large-scale AI evaluation datasets, identify patterns, biases, and causal relationships, and design experiments to understand model behavior. Build reproducible analysis pipelines with Python, Pandas, NumPy, and Spark; develop statistical and causal inference frameworks; partner with ML researchers and engineers; and communicate findings to technical and non-technical stakeholders.

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

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.

Lead applied research on spatial reasoning, geometric and physical world modeling. Own data generation, evaluation, and product integration. Implement experiments, build production code, and drive research strategy in 3D, multimodal, simulation, and related domains.

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.

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.

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.

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.

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.

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.

As a Research Scientist, you will design AI technologies for motion planning in self-driving trucks, focusing on deep learning and seamless integration into production systems.

Research Scientists at Waabi will lead AI projects to develop algorithms for self-driving technology, collaborate on solution deployment, and publish research at conferences.

Implement and scale LLM training, fine-tuning, and post-training techniques (RL-based). Build evaluation and data pipelines, debug ML stack issues, optimize training/inference workflows, and ship maintainable ML infrastructure code.

Develop perceptual features for MR/AR experiences, establish image quality metrics, and research algorithms for light estimation and virtual object rendering.

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

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

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

S32 seeks Applied AI Research Scientists to explore new approaches, algorithms, and methodologies to advance AI systems across portfolio companies. Candidates will drive research, shape company direction, and collaborate with founders to apply research outcomes to product and business needs.