Top Machine Learning Jobs in Vancouver

Design and implement the core Risk platform architecture. Manage project priorities, mentor team members, and write high-quality code. Collaborate with stakeholders across the organization.

The Engineering Manager, Applied AI will lead and mentor a team focused on generative AI products, oversee project development, and collaborate with cross-functional teams to drive software development best practices.

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.

The Senior Machine Learning Engineer will develop value prediction systems, collaborate with stakeholders, and enhance model accuracy using various ML techniques.

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

Design and build backend services for AI/ML workloads, enhance core ML systems, and collaborate with cross-functional teams to optimize operations.

As a Senior Backend Engineer, you'll enhance Roofr's backend architecture, collaborate in a cross-functional team, and manage the software development lifecycle. You'll write clean code, conduct testing, and support production applications while driving engineering culture and improving technology.

Lead and mentor a machine learning team, drive innovation, manage projects, and align with company goals while advancing in 3D reconstruction and generative AI.

The Forward Deployed Engineer acts as a technical partner for sales and customer success, troubleshooting integration issues and ensuring customer satisfaction with the company's simulation software.

The Senior Machine Learning Modeler will develop machine learning solutions to assess financial crimes risk, collaborate with teams, and drive innovation in financial crime detection.

Drive risk management by building end-to-end AI/ML solutions, collaborating with cross-functional teams, and optimizing operations at Square.

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.

Lead the development and implementation of quality strategies for machine learning systems. Collaborate across teams to enhance product quality and monitor effectiveness.

As a Machine Learning Engineer, you will research automating ML workflows, collaborate on product development, and support customer needs with technical solutions.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

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.

Develop and grow machine learning products, lead design and integration of AI models, mentor engineers, and drive large-scale projects in a collaborative environment.

The Staff Machine Learning Engineer, Edge AI leads the development of embedded solutions, implements AI algorithms on edge devices, and influences the engineering culture, requiring strong expertise in multimedia frameworks and software development.

As a Senior Machine Learning Engineer on Cash App's Risk team, you'll develop analytical and ML solutions to mitigate risk and fraud, collaborating cross-functionally to balance business loss and customer experience.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

Lead and scale the engineering team for Hopper's ad platform, drive product development, and foster a high-performance culture.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

Lead the development of Censys' platform services and web applications, driving AI integration, team growth, and collaboration across products.

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.

Lead and manage the Focal engineering team focused on AI-powered insights. Oversee software development, technical strategy, and ensure the platform's scalability and security.