Top Machine Learning Jobs in Vancouver

Develop and integrate Generative AI agents into a security platform, focusing on natural language processing and automating tasks related to data protection and anomaly detection.

The ML Infrastructure Engineer will optimize, deploy and scale machine learning models in production. Responsibilities include designing scalable GPU infrastructures, implementing advanced inference solutions, and collaborating with applied scientists and software engineers to enhance model efficiency and workflow automation.

As a Staff Machine Learning Engineer at Coinbase, you will design and implement cutting-edge multi-modal ML models for document processing, optimize user onboarding risk assessments, and create real-time ML pipelines. Your role will involve collaborating with platform teams and translating domain expertise into scalable ML solutions while ensuring high availability and low latency.

As a Technical Lead, Machine Learning Engineer, you'll fine-tune and optimize LLMs, improve on-device model architecture, build evaluation pipelines, and collaborate with product teams to enhance user experiences through AI-powered features.

The Machine Learning Engineer will lead the development of device identification systems, collaborating on backend and frontend integration, optimizing data collection, implementing machine learning models, ensuring security compliance, and mentoring junior team members.

The Senior Software Engineer will architect and maintain distributed systems for machine learning, develop services using open source technologies, and collaborate with ML engineers to enhance their impact. Responsibilities include handling infrastructure, resolving production issues, and participating in on-call rotations.

As a Staff ML Engineer at Quora, you'll develop and maintain cutting-edge NLP applications and scalable machine learning systems for the Poe platform. You'll lead projects related to LLMs, working on search retrieval and recommender systems, while also participating in research and optimizing existing models.

The Machine Learning Engineer will work on optimizing Quora's content distribution system, managing the entire machine learning lifecycle including data pipelines, feature engineering, model training, and production integration. Responsibilities include building scalable ML systems, collaborating with cross-functional teams, and improving recommendation models to enhance user engagement and advertiser performance.