lyft · Toronto, Canada
Skills: Python, Java, AWS
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems at scale, leveraging Machine Learning to better serve our customers. The Machine Learning Platform (MLP) team is seeking a backend Software Engineer to help build and operate our platform, which supports real-time, online, and offline ML model execution, development, and iteration across Lyft. In this role, you will own well-defined tasks and contribute to features alongside a team of highly motivated Machine Learning and Software Engineers, learning from senior engineers while shipping production code that impacts systems across the entire business. If you are interested in hands-on exposure to classical machine learning models and production ML systems at scale, with applications across each facet of the marketplace and business, we are searching for you. If you are a creative and critical thinker with an interest in machine learning systems, eager to learn and grow as an engineer, and passionate about solving business problems using data in a dynamic, creative, and collaborative environment, we are searching for you. Responsibilities: Own well-defined tasks and contribute to features on the ML platform, seeking guidance from senior team members when needed Develop reliable, performant, well-tested, readable, maintainable code that follows team coding standards and meets feature requirements Participate actively in code reviews, both giving and receiving feedback Monitor the stability and performance of your code after deployment, and proactively fix bugs and debug issues within your scope Participate in the team's operational responsibilities, including on-call rotations and following through on postmortem action items Contribute to technical debt reduction and technology modernization efforts Write documentation for the co…
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