Top Tech Jobs & Startup Jobs in Toronto

As an iOS Engineer at Lyft, you will design and develop features for the Rider application, collaborating with product managers and designers. Responsibilities include writing maintainable code, participating in reviews, debugging applications, and promoting best practices. You will enhance rider experience by building large-scale iOS applications and working within a cross-functional team.

As an iOS Engineer at Lyft, you will develop and enhance mapping applications, collaborate with cross-functional teams, and ensure a high-quality user experience. Responsibilities include building new features, addressing real-time data challenges, and implementing best practices in code architecture.

The Data Engineer at Lyft will design and implement data pipelines for insurance operations, optimize performance using ETL and MapReduce, and ensure seamless execution by collaborating with internal teams and external partners. The role involves refining data models and enhancing core data pipelines to support data processing and analytics needs across the organization.

The Senior Manager, Brand Strategy at Lyft will lead efforts to build brand preference and execute integrated marketing campaigns. Responsibilities include monitoring brand equity, collaborating with various teams to enhance brand perception, and driving brand strategy through data-driven insights. The role requires fostering relationships across functions to ensure brand message consistency and executing marketing programs that deliver measurable impact.

As a Senior Data Scientist on Lyft’s Rider team, you will use data and analytics to inform business decisions, develop frameworks to analyze performance, design online experiments, and collaborate with cross-functional teams to enhance rider experience and operational efficiency.

As the SDET Manager for Rider Quality at Lyft, you will build and lead a talented team specializing in Test Automation and Machine Learning. You will set the technical vision, collaborate with cross-functional teams, and guide the professional development of your team while ensuring the delivery of high-quality products.

As a Data Scientist on the Airports team at Lyft, you will leverage data-driven insights to enhance products and make informed business decisions, focusing on improving rider and driver experiences at airports through analytical modeling and collaboration with cross-functional teams.