Top Machine Learning Jobs in Vancouver

The Senior AI/ML Engineer will architect, build, and deploy AI systems, working with clients to understand their needs and applying MLOps practices to enhance AI services.

Develop scalable machine learning models, collaborate with teams, create proofs of concepts, and write maintainable code while engaging in the entire ML development cycle.

As a Senior Machine Learning Engineer, lead the development of ML solutions, collaborate with cross-functional teams, design scalable systems, and manage the lifecycle of ML models while improving user experiences across dating platforms.

The AI/ML Engineer will design and develop AI-powered applications, automate workflows, and integrate AI into BPM's daily operations, ensuring they deliver business value.

Lead the Machine Learning Platform team at Discord, focusing on building and maintaining ML infrastructure and tools to enhance user experiences.

Lead and grow a global engineering team, drive technical strategy, and ensure alignment between client goals and engineering solutions in a remote setting.

The Machine Learning Engineer will develop and deploy ML models, leveraging analytical skills to automate processes and reveal data value.

The Machine Learning Architect will design and implement AI/ML solutions using cloud platforms, working closely with customers to meet their business goals.

As a Senior Machine Learning Engineer, you'll build machine learning models, optimize solutions, lead projects, and ensure efficient data flow on Google Cloud. You must have strong ML fundamentals and communication skills to deliver effective AI solutions.

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

The Senior Machine Learning Engineer will design advanced ML solutions, work on LLMs, and collaborate with cross-functional teams to drive innovation in healthcare and life sciences.

Seek a VFX and Machine Learning Specialist to develop and implement VFX solutions, design machine learning models including training and fine-tuning, collaborating with teams, and ensuring control over technology stacks.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

As an ML Infrastructure Engineer, you will build infrastructure for AI development, automate ML workflows, and enhance developer experiences while collaborating with various engineering teams.

As a Machine Learning Engineer, you'll create algorithms for personalized interior design tools, collaborate with experts, and drive innovative user-centric solutions.

Lead the development of the Wildfire Fuel Detection Model using ML techniques and geospatial data, collaborating with teams to ensure accuracy and robustness. Mentor engineers and drive architectural decisions.

Design, build, and optimize ML systems for recommendations at scale. Collaborate with teams on data pipelines, model development, and experimentation.

The role involves designing, building, and optimizing large-scale ML systems for personalized recommendations, focusing on data ingestion, model training, and collaboration with cross-functional teams.

As a Staff Machine Learning Engineer, you will design ML systems for location analysis, collaborate with teams to integrate ML into products, and mentor others while ensuring optimal system performance and reliability.

Design and build language models for AI security products, managing data pipelines, experiments, and model evaluations to ensure reliability and safety.

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.

The Machine Learning Engineer develops and deploys models to optimize demand forecasting and vehicle positioning, collaborating with cross-functional teams to enhance rider experience.

The MLOps Engineer will optimize operational processes, automate model deployments, maintain scalable infrastructure, and collaborate with cross-functional teams to ensure efficient AI/ML operations.

Develop ML-powered information retrieval and recommendation systems, using advanced AI and models to enhance user experiences and product functionality at Workday.

Lead a team of ML engineers and consultants to deliver AI/ML solutions on AWS while driving strategy, technical innovation, and practice development.