Top Machine Learning Jobs in Vancouver

Develop and maintain AI software solutions using Golang and C++, mentor junior engineers, and apply machine learning concepts in a Linux environment.

The Senior Software Developer will create web applications, mentor peers, collaborate on designs, and build microservices using C# and .NET, focusing on cloud applications and usability.

The Distinguished Software Engineer will lead technical architecture for multiple domains, focusing on scalable solutions, mentoring teams, and driving strategic initiatives.

As a Software Engineer, you'll design and implement scalable systems, support machine learning models for bidding decisions, and work with a team to innovate solutions.

As a Senior Staff Software Engineer, you will design scalable infrastructure for ML models, optimize performance, and collaborate with teams to enhance ML experimentation tools.

Designs and builds technical GTM experiments, demo applications, and integrations while collaborating with the founding team and early adopters. The role emphasizes fast iteration and collecting feedback.

As a Senior Tools Programmer, you will design and implement procedural world generation tools in Unreal Engine, integrating machine learning and collaborating with Technical Artists to enhance workflows.

The Senior Software Engineer - Backend will develop scalable software systems, lead projects, ensure software quality, collaborate with teams, and mentor junior developers.

The Senior AI Engineer will create advanced AI systems for a AAA game, collaborating with diverse teams to develop innovative gameplay experiences.

As a Senior Software Engineer at Boon, you'll build features end-to-end, influence technical direction, and maintain critical infrastructure in a collaborative environment.

The Lead Software Engineer will oversee monitoring and observability, utilizing open source tools to ensure system health and performance, drive continuous improvement, and implement machine learning algorithms.

The Observability Manager oversees monitoring and performance of systems using open-source tools, driving continuous improvement through self-healing autonomics and machine learning integration.

Seeking a machine learning engineer to build solutions for personalization, automated experimentation, predictive modeling, and content generation, impacting customer interactions.

Develop and maintain full-stack applications for AI/ML workflows, collaborate across teams, implement scalable microservices, and optimize performance and security.

The Principal Geometry Programmer will design and implement geometry algorithms, collaborate on ML integration, and develop tools for Unreal Engine.

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.

Develop and improve AI systems for patient and physician products, mentor team members, and conduct evaluations for ML features.

Curai Health seeks a Machine Learning Engineer to enhance AI systems, focusing on NLP and production ML systems for healthcare applications.

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

Conduct research in machine learning applications for primary healthcare, contribute to product-focused applications, mentor interns, and influence company direction.

The Principal Software Engineer will design and develop Autodesk's AI/ML platform, focusing on system architecture, automation, and managing big data to streamline ML processes and solutions.

The Software Engineer will build and scale components of the nELISA software stack, develop internal tools, and improve lab operations, focusing on data analysis pipelines and software for biotechnology applications.

The Software Engineer II will develop backend services for a high-precision Detection Engine, optimize detection features, and mentor junior engineers, tackling real-time data analysis and system issues.

As a DevOps Engineer, you will manage cloud infrastructure, build container-based solutions, automate CI/CD processes, and develop tools for ML operations.

The role involves architecting and implementing AI systems, building secure web services, developing data pipelines, and providing technical leadership in machine learning applications.