Top Research Jobs in Vancouver

This internship focuses on AI research, specifically in natural language processing. Responsibilities include designing caching systems, developing retrieval mechanisms, and conducting experiments with NLP models.

This internship involves working on NLP and AI research, focusing on designing semantic systems, developing retrieval mechanisms, and experimenting with advanced models.

The Research Assistant will support site activities for assigned projects, manage communications, perform data entry, and assist with study-related activities.

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 refining asset allocation through data-driven analysis, collaborating across teams, and translating investment needs into data models. The goal is to ensure competitive investment products that empower clients with financial freedom.

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.

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 Senior Research Scientist at Clarifai, you will develop and optimize machine learning models, particularly in Computer Vision and GenAI, and collaborate across team to deliver innovative AI capabilities.

The Senior Clinical Research Associate manages clinical study sites for data quality and patient safety, mentors CRAs, and ensures regulatory compliance.

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

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.

Develop and test methods for imitation and reinforcement learning on humanoid robots, designing robust policies for their locomotion and manipulation.

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

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.

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