Top AI Jobs in Vancouver

As an AI Engineer, you will develop machine learning solutions for public safety, encompassing the full machine learning cycle from data curation to deployment.

The role involves designing AI-powered tools to enhance developer productivity, improve code quality, and streamline engineering processes. It requires collaboration with engineers to integrate tools into workflows and a strong focus on continuous improvement through metrics and insights.

Lead design and implementation of AI product initiatives on Edge devices, optimizing ML models, and collaborating across business units to enhance performance and customer experience.

As a Senior Machine Learning Platform Engineer, you'll enhance ML infrastructure, mentor juniors, and optimize data pipelines for high performance.

The Principal Functional Architect will design and support enterprise cloud applications, mentor teams, and enhance Workday Financials Revenue products while collaborating across teams.

Design and implement technical evaluators for LLM assessment, optimize dataset management, and collaboratively build scalable evaluation frameworks to ensure reliability of AI models.

Lead GitLab's Custom Models team, manage high-performing engineers, and develop AI solutions tailored to customer needs while promoting innovation and collaboration.

Develop and improve the GitLab product with focus on AI capabilities and integration of technologies while collaborating in a remote team environment.

As a Staff Firmware Engineer, you will lead the design and development of embedded solutions, drive technology choices, and collaborate with the hardware team to ensure the accuracy of AI algorithms on edge devices. You will mentor engineers and oversee high-impact projects.

The GTM Engineer will design and scale AI-driven solutions for GTM workflows, integrate AI services, and automate customer journey processes, requiring strong technical skills and collaboration with cross-functional teams.

The Senior Applied AI/ML Scientist leads the development of AI/ML solutions, collaborates with teams, and drives product innovation to enhance customer value.

As an Intermediate Frontend Engineer, you will develop UI for GitLab's AI discovery platform, collaborate with teams, and maintain code quality.

The JavaScript Developer will create training data for AI models, evaluate AI-generated code, and develop functional web applications using JavaScript and React.

The Software Engineer will train large-language models by evaluating and improving AI-generated code, focusing on code quality and correctness.

As an Intermediate Machine Learning Engineer, you will develop evaluation techniques, manage large language models, and collaborate on AI feature implementations, ensuring product quality and performance.

As a Senior Gameplay AI Programmer, you will develop and maintain AI systems in UEFN, collaborating with teams to enhance gameplay features and user experience.

Help train large-language models to evaluate, critique, and improve production-grade code across multiple programming languages, focusing largely on Python.

As an AI Engineer, you will design and scale AI solutions, develop ML pipelines, build intelligent products, and support MLOps efforts in a dynamic team.

Join an annotation team to create training data for AI models. Responsibilities include verifying testing logs, categorizing problems, writing notes, evaluating AI-generated code, and solving coding problems across various languages.

The MLOps Engineer will drive operational efficiency of the AI/ML Platform by optimizing MLOps practices and automating deployment pipelines, ensuring scalable infrastructure and monitoring model performance. Collaboration across teams is key for effective data pipelines and model governance.

The AI Solutions Architect will lead AI initiatives to improve operational efficiency across multiple business functions, collaborating with leaders to implement AI technologies and ensure ethical practices in AI development.

The AI Enablement Engineer will enhance internal operations, build AI-powered tools, and streamline workflows to drive productivity and efficiency.

Developers will evaluate AI-generated code, build React components, solve coding problems, and create instructional content for AI training.

The role involves training large-language models to write code, ranking code snippets, and refactoring AI-generated code while providing feedback to optimize models.

The AI Solution Engineer will develop AI-powered workflows, collaborate with teams on scalable solutions, and utilize Microsoft Azure tools for automation within a healthcare SaaS environment.