Top Research Jobs in Vancouver

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.

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.

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.

Support development of tokenized equity products by conducting due diligence, building financial and commercial models, performing market and competitor research, preparing committee memos and presentations, tracking ECM activity, and owning research workstreams through transaction execution.

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.

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.

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

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.

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.

Remote, contract equity research role requiring at least 2 years' experience at top firms. Analyze and extract information from public SEC filings. Minimum 10 hours/week for at least four weeks. Independent-contractor engagement with weekly payments via Stripe or Wise. U.S./Canada-based applicants only; no H-1B or STEM OPT sponsorship.

Manage site relationships and monitor clinical trials to ensure participant safety and data integrity per ICH GCP, regulatory requirements, and sponsor/SOPs. Conduct site selection, initiation, monitoring, and close-out visits (onsite or remote), support regulatory submissions and TMF/CTMS maintenance, drive recruitment, report study progress, escalate issues, and assist project managers to ensure timely study execution.

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.

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.

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 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.

Translate cutting-edge ML and physics research into production-grade scientific code, architect and scale large simulation and training pipelines on GPU infrastructure, optimize hardware-level performance, support models through full product lifecycle, and integrate complex datasets and ML models into external-facing drug and materials discovery products.

Conduct and oversee clinical trial site monitoring (qualification, initiation, interim, close-out) to ensure protocol, GCP, and regulatory compliance. Perform source data verification/CRF review, eTMF/TMF QC, investigational product accountability, SAE reconciliation, monitoring visit reporting, site training/mentoring, budget oversight for stand-alone studies, and cross-functional coordination with sponsors, data management, and finance.