Top AI Jobs in Vancouver

Lead AI research projects focusing on responsible, reliable, and safe AI. Develop ML models, manage a team, collaborate cross-functionally, and publish research papers.

Join Welo Data to provide high-quality AI datasets including annotation, labeling, and data collection in multiple languages.

This role involves backend development, optimizing product flows, voice cloning, and text-to-speech services. Candidates should have experience deploying NLP models.

Lead client onboarding, configure AI systems, build automations, design engagement flows, and refine workflows for sales automation.

As a Senior AI Engineer, you will build advanced AI systems using LLMs, develop multi-agent systems, and optimize AI features impacting user productivity.

Design and develop AI models for 2D and 3D computer vision applications, optimizing algorithms for object detection and segmentation.

As an AI & Automation Engineer, you'll lead automation initiatives, integrate AI and machine learning technologies, manage project lifecycles, ensure data quality, and collaborate cross-functionally to optimize processes.

As a Full Stack Engineer, you'll build AI-based features, integrate AI systems, and collaborate across teams to innovate products.

As a Product Manager Intern at OpusClip, you'll gather user feedback, test AI features, and support product development efforts.

As a Software Engineer, you'll design intelligent systems to process data from numerous sources, develop AI capabilities, and create efficient data pipelines that enhance sales effectiveness.

Revic seeks a Sr. Software Engineer (Applied AI) to design data pipelines and AI systems for sales data, ensuring reliable and efficient processing from multiple sources. The role involves building coherent systems and maximizing revenue while managing complexity in an AI-native platform.

The Lead AI Engineer will design multi-agent systems for an enterprise SaaS product, leveraging generative AI technologies and frameworks while collaborating within a dynamic team.

Lead a team of data scientists and AI engineers to deliver AI-driven solutions and drive business impact through innovation and collaboration.

As a Technical Lead, you'll guide the engineering team towards AI integration, mentor engineers, make architectural decisions, and build AI-powered features, emphasizing sustainable development culture.

The Full Stack Engineer will develop AI-powered features for a workspace management platform, focusing on full-stack delivery and integration with AI capabilities.

Seeking a Product Owner for AI Platform Tooling to lead AI initiatives, manage backlogs, and ensure efficient development practices within Agile frameworks.

Lead the AI Agents team, developing intelligent multimodal AI agents, optimizing performance, ensuring software quality, and integrating AI solutions to enhance customer experiences.

The AI Engineer Intern at Quora will develop LLM applications and participate in applied AI activities, collaborating with a varied team.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

The AI Lead will prioritize and drive AI integration projects, collaborate with teams, mentor members, and oversee the AI strategy at Super.com.

The AI Software Developer will design and maintain AI features, build autonomous agents, implement workflows, and develop analytics to improve marketing outcomes.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

Lead the development of AI/ML platforms, architecture, and infrastructure, ensuring technical excellence, mentorship, and effective solutions to meet business needs.

Manage AI product development, driving discovery, execution, and data-driven decisions to improve customer outcomes. Collaborate with teams.

Lead the development and deployment of AI and ML solutions, oversee MLOps strategy, and collaborate with data scientists to enhance data-driven products.