Top AI Jobs in Vancouver

The role involves designing and building AI-powered workflows and full-stack applications, collaborating with internal teams to meet client needs while developing internal tools.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Senior Software Engineer, you will evaluate AI-generated code, solve coding problems, and write robust test cases to enhance AI models.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

Develop and maintain tools for automating workflows using AI. Collaborate to identify and solve operational challenges while managing projects that improve productivity.

Design and develop core data infrastructure for AI platform, focusing on scalable systems, database architecture, and high-throughput data management, enabling efficient data streaming for model training.

The Senior Test Engineer will develop and implement test plans for AI features, automate testing, and collaborate across teams to ensure quality. They'll also lead AI/ML testing efforts and advocate for robust testing practices.

Architect and develop AI-powered systems, create knowledge graphs, implement data pipelines, and enhance language parsing capabilities.

Drive development of AI-powered features, modernize services, and build cloud solutions while mentoring junior staff and contributing to technical roadmaps.

Develop and refine AI-powered technology for autonomous driving applications, focusing on C++ coding, performance optimization, and teamwork in a production environment.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

As a Senior AI Modeling Engineer, you will develop and implement AI models, mentor junior engineers, and collaborate on platform development using Python APIs and modern deep learning architectures.

As an AI Software Engineer, design and develop AI-driven features for domain services using Python and Golang. Collaborate with stakeholders and utilize open-source models.

As a Senior AI Applied engineer, you'll shape Vanta's AI strategy, improve systems, and collaborate with teams to implement and maintain AI infrastructure and tools, focusing on leveraging LLM models for enhanced products.

The Software Development Manager leads a technical team, overseeing project design, technical solutions, and team development while actively coding and reviewing work.

The role involves building end-to-end distributed LLM inference deployments, collaborating on features, and developing scalable ML infrastructure tools.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

Develop and enhance Autodesk's AI/ML platform by designing systems, automating processes, and ensuring scalable deployment of machine learning solutions, collaborating with cross-functional teams.

As a Senior Software Developer for AI Infrastructure, you'll design and implement infrastructure-as-code, manage Kubernetes configurations, and optimize backend systems while collaborating with AI teams to enhance ML-powered tools.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

The Technical Director will lead technical direction, ensure quality project execution, guide teams, and serve as a trusted advisor to clients in AI and Data initiatives.

Design and develop scalable data infrastructure for AI platform, optimize database performance, create data pipelines, and mentor junior engineers while collaborating across teams.

The Applied AI Engineer will create end-to-end proofs-of-concept by rapidly prototyping AI solutions, conducting experiments, and collaborating with teams to integrate and document their work.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

Join a network of early-stage VC-backed startups seeking Founding AI Engineers for roles focused on building and deploying AI/ML models and products.