Top Research Jobs in Vancouver

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

The VP of R&D will lead product development, manage teams across the US and Canada, ensure timely delivery of projects, and drive innovation in alignment with business strategies.

Conduct site qualification, initiation, monitoring, management, and close-out visits to ensure protocol, regulatory and ICH/GCP compliance. Review source documents and CRFs, manage queries, investigational product handling, ISF/TMF reconciliation, documentation, and support audit readiness. Act as liaison with sites and sponsors, support recruitment/retention, and may train junior staff. Heavy travel (up to 75%).

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

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

The research engineer will focus on solving the structure from motion problem, contributing to 3D reconstruction in various industries using AI.

The role involves advancing free energy methods in drug discovery, optimizing protocols, coding tools, and collaborating with cross-functional teams. Responsibilities include managing binding free energy calculations and ensuring method efficacy for project decisions.

Research and build efficient ML systems for large-scale LLMs and agentic RL: design algorithms and system techniques, prototype in training/inference stacks, run large-scale experiments, and translate findings into production or publications.

The Senior Research Analyst manages research projects, analyzes complex data sets, communicates findings, and prepares reports while ensuring quality control throughout the project lifecycle.

Lead and grow an applied AI training research practice that delivers measurable client outcomes. Oversee benchmarking, data strategy, RL environment development, and cross-functional pods to ensure research outputs are deployable, scalable, and commercially impactful. Support pre-sales, scope engagements, and act as executive sponsor on strategic accounts to drive retention and revenue.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

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

Design, train, evaluate, and optimize agent-native LLMs and RAG pipelines for enterprise use. Build training and RL pipelines (RLHF/DPO/PPO), embedding-based memory, evaluation harnesses, observability, and inference optimization across cloud and on-prem environments.

Lead design and execution of a 3–5 year fundraising strategy; personally cultivate and close five- and six-figure major gifts; manage donor CRM, reporting, dashboards, and fundraising collateral; partner with CEO and Board for donor engagement; align projects to donor goals; mentor a small fundraising team; track performance against KPIs; travel for donor meetings and events.

Seeking Applied AI Research Scientists to develop and explore new AI approaches, algorithms, and methodologies to drive AI systems across S32 portfolio companies and shape company direction.

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.

Design, build, and productionize evaluation and post-training systems for LLMs. Create post-training datasets and improve model performance through innovative training loops.

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

The Senior Research Consultant will advise clients on market research, design studies, interpret results, and integrate AI into research processes.

Support and maintain GxP-compliant quality systems: plan and conduct internal audits, manage CAPAs and deviations, review NCs and quality indicators, support vendor qualification and RFIs, assist with inspection readiness and client audits, create training and quality documentation, and perform IP release with GMP background.

Lead applied research and system development for spatial intelligence across drawings, BIM, and site data. Design, train, and deploy ML models for constructability, clash detection, and risk identification. Build proprietary datasets and ML pipelines, partner with engineering and product teams to productionize research, mentor senior staff, and shape long-term spatial AI strategy.

The Research Assistant will perform bioanalytical assays, process data, maintain lab equipment, and prepare study reports while adhering to safety protocols.

The Research Scientist will plan and execute DMPK assays, perform data analysis, develop methods, and coordinate with study teams, supporting drug discovery and regulatory projects.

Partner with portfolio and risk managers to develop quantitative risk models, analyze U.S. power markets, improve backtesting and simulation infrastructure, attribute performance, track P&L and exposures, and deliver actionable insights to scale the trading and risk platform.

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.