Top AI 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.

Lead the evolution of Service Desk operations with a focus on AI-driven automation, platform ownership, and integration of SaaS systems.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

The Senior AI Reporter at TechCrunch will cover breaking news in AI, engage with sources, and produce impactful tech journalism. Responsibilities include monitoring developments, attending events, and providing in-depth analysis to the audience.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

The AI Engineer role involves optimizing language models for fraud detection and building backend infrastructure to support scalable operations for risk management and as well as developing efficient machine learning solutions.

The Senior AI Engineer will lead AI project architecture, build AI solutions, integrate systems, and promote MLOps best practices while collaborating with teams to apply AI in business contexts.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

Lead sales efforts for AI solutions at Labelbox, developing relationships with top AI labs and Fortune 500 companies, managing the sales cycle and ensuring client satisfaction.

As a Telerobotics Operator, you'll operate robots, gather data, troubleshoot, and ensure their functionality in varying settings, advancing AI development.

Lead the Perception engineering team, focusing on full-stack development, project management, and driving engineering excellence to support AI systems.

The Associate Product Marketing Manager- AI will shape product positioning, create content, lead GTM strategy, enable sales, and conduct market research.

Develop and implement messaging and positioning for AI products, create marketing content, lead go-to-market strategies, and analyze market research.

Manage and grow full stack engineering teams focused on data visualization and business semantics, overseeing recruitment and development of talent, implementing strategies, managing technical debt, and ensuring high-quality software delivery.

As a Senior AI Programmer, you'll develop AI systems for interactive projects, collaborating with teams to optimize performance and design.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

The Product Manager will evaluate and manage relationships with LLM models, define product strategy, and coordinate cross-functionally to enhance customer experience while driving product roadmap and adoption.

The AI Outcomes Manager will collaborate with executives and users to transform organizations into AI-native enterprises, enhance customer engagement, and develop deployment strategies.

Lead business development and strategy for AI infrastructure, focusing on cloud compute buyers and establishing strategic partnerships in the technology ecosystem.

Manage AI and ML solutions, leading model development and deployment while mentoring engineers and collaborating with cross-functional teams.

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.

The AI-First Data Scientist will design and deploy ML solutions, conduct causal analysis, and partner with business leaders to drive AI integration into decision-making.

Lead the fullstack development of Glean's Generative AI products, managing and mentoring engineers while driving product improvements and team growth.

Lead complex content strategies for digital ecosystems, addressing user needs and business goals through scalable architecture and governance models. Collaborate across teams, conduct audits, and advise on AI capabilities, ensuring clarity and effectiveness in content systems.