Top Tech Jobs & Startup Jobs in Vancouver

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning models, lead data analysis, and implement MLOps practices within the AI Core team.

The role focuses on leading enterprise architecture initiatives. Responsibilities include designing systems and processes that drive efficiency and innovation, aligning technology with the company's strategic goals.

The Machine Learning Engineer will design and build core ML systems for AI agents, managing their lifecycle, from design to deployment, and ensuring scalability and reliability.

Design, build, and enhance personalized employee journeys within Workday. Focus on front-end and contribute to backend services, ensuring high-quality user experiences.

As a Machine Learning Engineer, you will develop user experiences using LLMs and predictive analysis, deliver ML solutions, and ensure continuous improvement in AI products at scale.

The role involves developing AI technology for contract management, analyzing contracts, collaborating with teams, and automating processes.

As a Senior/Principal Machine Learning Engineer, you will design and build core ML systems for Workday's AI agents, owning the entire lifecycle from problem framing to deployment and improvement, while collaborating cross-functionally to create scalable solutions.

As a Fullstack Software Engineer, you'll enhance AI-driven contract management solutions, collaborating with cross-functional teams to deliver scalable products.

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

The role involves collaborating with engineers to deliver AI-powered agents, participating in team culture, and owning functional areas from development to production.