Top Research Jobs in Vancouver

Lead advanced AI research projects focused on computer graphics and rendering techniques, mentoring junior engineers and translating ideas into research prototypes.

As a Research Engineer in Sensor Signal Processing, you will design and implement signal processing techniques for autonomous driving, working with various sensor data and optimizing algorithms for high performance.

The Risk Manager develops risk-based monitoring strategies, collaborates across teams to identify risks, and ensures data integrity in clinical trials. Responsibilities include risk assessment, training, and advising on mitigation plans.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

Lead the design and development of software for quantum machine learning methods. Collaborate with researchers and communicate findings. Oversee best practices in machine learning systems and influence product offerings.

The Project Manager I oversees clinical trial projects, communication with stakeholders, budget tracking, resource management, and training team members while ensuring compliance with regulations and project goals.

The role involves refining and personalizing Luma's multimodal AI models, improving their controllability and adaptability for creative workflows, while collaborating with cross-functional teams.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

As a Research Sourcer, you'll build talent pipelines for elite researchers in AI, engage with hiring managers, and enhance sourcing strategies.

The role focuses on refining Luma's foundation models for better controllability and personalization while collaborating across research, product, and design teams.

Seeking a Research Scientist/Engineer to design and optimize distributed training systems for large-scale multimodal AI models using thousands of GPUs.

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.

The role focuses on optimizing AI models for efficiency, involving GPU/CPU code profiling, high-performance programming, and developing performance 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.

As a Research Intern, you'll build reinforcement learning environments and agents, define reward models using real-world data, and collaborate on deploying learning systems.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

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.

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

Responsible for site management in clinical trials, including monitoring, training, and compliance with regulations. Collaborates with study teams to ensure effective study delivery.

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

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.

Lead development of data structures, analyze health data, create whitepapers, and collaborate with cross-functional teams on clinical research.

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

The Director will lead insights in Research and Development, advise on strategies, analyze market trends, and create impactful content for Gartner clients.