Top Tech Jobs & Startup Jobs in Toronto

As a Frontend Software Engineer at Lyft, you will work closely in an inclusive team where you will own features, communicate across functions, participate in code reviews, and write maintainable code. You will also ensure code quality and support feature development from spec to maintenance while enhancing workflow efficiency and data insight within the claims tech engineering team.

The Head of Mapping at Lyft will lead the Mapping team to innovate and redefine mapping products, ETA and routing technology. Responsibilities include setting product vision and strategy, managing a team of engineers and product managers, driving collaboration across functions, and influencing company-wide priorities. The role demands exceptional leadership and communication skills to foster team success and enhance customer experiences.

As a Data Analyst at Lyft, you will leverage analytics to analyze business problems, work on investment strategies, handle data reporting, and partner with various teams to improve models and processes. Your role will involve presenting insights and recommendations to senior leadership and ensuring effective analysis aligns with business objectives.

The Fullstack Engineer will build and own innovative web applications, focusing on design fidelity, usability, and performance. Responsibilities include managing multiple projects, collaborating with various teams, writing code, leading projects from concept to launch, and participating in code reviews.

As a Senior Software Engineer at Lyft, you will develop and enhance backend systems for driver dispatching, working on large-scale distributed systems and collaborating with cross-functional teams. Your role involves improving algorithms for better driver utilization and fulfillment costs, while utilizing cloud platforms and CI tools.

As a Software Engineer on the Matching team at Lyft, you will improve driver dispatch strategies, work on algorithmic back-end systems, and collaborate across teams to enhance rider fulfillment. You'll tackle technical challenges in distributed systems while employing object-oriented programming and cloud services.

The Data Scientist will collaborate with cross-functional teams to develop safety insights from telematics data, apply machine learning and statistical models, and conduct exploratory data analysis. This role also focuses on product adoption, monitoring data health, and communicating findings effectively.