Top Tech Jobs & Startup Jobs in Toronto

The Software Engineer will enhance Lyft's mapping features for drivers and riders, focusing on scalable solutions, system architecture, and collaboration across teams. Responsibilities include leading projects from design to execution, writing maintainable code, and promoting coding best practices.

The Senior Machine Learning Engineer will enhance mapping capabilities using ML, collaborating with cross-functional teams, analyzing data, developing models, and deploying solutions.

As a Senior Data Scientist at Lyft, you will analyze data to inform business decisions, design experiments, and collaborate with cross-functional teams to enhance the rider app and overall user experience.

The Senior Data Scientist will leverage data to shape business decisions at Lyft, collaborating with various stakeholders to monitor performance and drive growth.

The Anaplan Engineer will support FP&A by building and maintaining Anaplan models, developing data integrations, and providing training and troubleshooting support to users.

As a Data Engineer, you will own and deliver data engineering projects, ensure code quality, and collaborate with cross-functional teams to meet data needs.

Join Lyft's Mobile Tooling team to create and maintain infrastructure for mobile builds, enhancing productivity with tools and automation for hundreds of engineers.

The Senior Android Tooling Engineer will enhance mobile build systems, develop infrastructure tools for Android apps, mentor junior engineers, and improve developer experience.

As an iOS Tooling Engineer, you will enhance mobile development systems, manage projects, maintain CI infrastructure, and support iOS applications while collaborating with a team of engineers.

Join Lyft's Mobile Tooling team to create, maintain, and improve mobile build systems and tools, enhancing efficiency for developers.