Top Machine Learning Jobs in Vancouver

Work with product managers to enhance ML workflows and tools. Drive improvements in DVC's entry point and optimize ML practices.

Design and build machine learning infrastructure for running real-time deep-learning models on large amounts of video. Develop a data engine for continuous training and collaborate with research scientists on AI advancements.

The role involves providing strategic advice on implementing AI/ML workloads on Snowflake, designing solutions, and supporting customer teams with best practices.

Seeking a Principal Machine Learning Developer to engineer AI/ML tools, optimize performance, deploy models, and innovate within a collaborative team.

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.

As a Machine Learning Engineer, you will optimize LLMs, improve model architecture, and collaborate on AI-driven features for the browser.

The role involves designing scalable data pipelines, implementing ML algorithms, and managing microservice architectures for ad optimization at StackAdapt.

Develop and maintain full-stack applications for AI/ML workflows, collaborating across teams to integrate ML models, optimize performance, and contribute to platform architecture.