Top Research Jobs in Vancouver

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

Lead applied research and performance validation for advanced apparel and equipment. Define scientific objectives, design experiments, test with athletes and in lab, develop new test methods and fixtures, build testing infrastructure and data processes, advise on equipment, partner with academic/industry collaborators, and support IP and R&D funding initiatives to drive product innovation and circularity.

Lead applied research and performance validation for advanced apparel and equipment: define science-based objectives, design experiments, test athletes and materials, create lab-to-field test methods, build fixtures and infrastructure, partner with academics/vendors, protect IP, and support product circularity. Local hybrid role based in North 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 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.

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.

Lead development and evaluation of machine learning and image analysis algorithms, focusing on deep learning with 3D medical images. Collaborate cross-functionally to deploy models and publish research.

Join Heartflow's Research team to develop machine learning technologies for medical imaging. Solve challenges in deep learning and computer vision, and collaborate across departments.

The Director of Tumour Microenvironment Research will lead discovery research projects, enhancing pipeline assets and developing new products. Key responsibilities include managing research plans, collaborating with commercial leadership, and providing scientific leadership in cancer biology and radiobiology.