Top Research Jobs in Vancouver

The Research Assistant supports clinical study activities, data entry, participant recruitment, and adherence to regulatory guidelines.

The role involves developing ML models, leading research projects globally, and reviewing AI/ML literature to enhance techniques and methodologies.

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

Lead research efforts in agentic AI systems, focusing on reinforcement learning and LLM fine-tuning to improve AI-native customer experience platforms.

As a Chemometrics Specialist, you’ll innovate analytical chemistry with advanced data analysis, optical measurement, and multi-disciplinary collaboration, focusing on spectroscopic techniques and chemometric models.

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

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.

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.

As a ML Research Engineer, you will design scalable infrastructure for LLMs, collaborate with teams on experiments, and contribute to open-source models.

As an Applied Cryptographer, you'll develop cryptographic systems focusing on ZKP protocols, advise customers, and enhance frameworks.

Lead a team of analysts in delivering research reports, present findings at industry events, and support client engagements within the metals and mining sector.

Join a team to develop severe natural hazard models, write scientific code, manage project deliverables, and evaluate model outputs using GIS tools.

Lead research on responsible AI and develop ML models with a focus on safety and reliability, collaborating with global teams and stakeholders.

Contribute to clinical deep learning products by architecting, training models, and designing datasets for medical applications.

The Senior Research Analyst will produce premium research on crypto, lead initiatives, develop valuation frameworks, and build industry relationships while mentoring team members.

The Senior AI Research Engineer will develop AI-based solutions for cybersecurity, applying machine learning technologies to protect data and solve real-world problems within a collaborative team environment.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.

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.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

The Research Scientist will develop algorithms for world simulation models, conduct research in generative modeling, collaborate on integrations, and mentor junior staff.

The Research Operation Specialist supports product design research activities, enhances efficiency, and manages operational systems while collaborating with various teams.

The Research Coordinator will gather and synthesize legal and business intelligence, assist with research services, manage database access, and support new attorney orientation.

As a Research Intern at Cohere, you will conduct machine learning research, build and train large language models, and contribute to innovative projects.

Develop cryptographic systems, implement ZKP protocols, enhance frameworks, advise customers on security, and stay updated on cryptography advancements.

Lead research initiatives for Large Language Models and Vision Language Models at Oumi, focusing on AI/ML capabilities, publication, and collaboration with academia.