Top Research Jobs in Vancouver

As a Research Intern at N1, contribute to market/product or technical research in blockchain, developing analytical skills.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

The Malware Research Engineer will process malware threat feeds, investigate inquiries, conduct threat research, and utilize AI tools to enhance workflow.

Lead applied research and system development at the intersection of machine learning and construction data, mentoring teams and driving technical strategy.

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.

The Research & Development Clinical Pathologist will collaborate on innovative solutions in veterinary medicine, leveraging technology and clinical pathology expertise.

The role involves designing AI models and training methods leveraging wafer-scale hardware and collaborating with various teams and partners in AI and computational science.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As an Applied Research Engineer, you will develop AI systems, design measurement techniques, and enhance human data for machine learning applications.

The role focuses on advancing AI voice agents through research in LLMs and audio models. Responsibilities include model prototyping, evaluation, and collaboration with engineering to bridge research and production systems.

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 Research Assistant is responsible for supporting site activities, managing communications, data entry, and assisting with study-related tasks on various projects.

The Analyst role at Toyota Ventures involves sourcing and screening startups, conducting due diligence, drafting investment memos, and analyzing industry trends.

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

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

Oversee and monitor clinical trial sites to ensure GCP and protocol compliance, conduct site visits, resolve issues, ensure data integrity, train site staff and CRAs, collaborate with cross-functional teams, and maintain stakeholder relationships to support trial execution.

The Imaging Research Associate will support research by preparing biological samples, operating microscopy systems, collaborating on imaging protocols, and developing sample preparation methods.

This internship involves developing machine learning approaches for biological data, designing experiments, collaborating on research, and presenting findings.

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.

The Clinical Research Associate will coordinate clinical trials, ensuring compliance, collecting data, and maintaining study documentation while fostering relationships with stakeholders.

The Research Engineer, Infrastructure will build distributed training systems, optimize performance, manage data pipelines, and enhance research workflows, ensuring the infrastructure scales with AI advancements.

The role involves designing data strategies, developing scalable pipelines for human labeling, and researching human preferences for data-driven AI model enhancements. It includes publishing research and improving model alignment and efficacy through human and synthetic data techniques.

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

The ML Research Scientist will design Bayesian optimization frameworks, collaborate with lab scientists, and integrate ML models with experimental data.

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.