Software Engineer Intern, Machine Learning (Summer 2027 - Toronto)

At Lyft in the Transportation space, Connecting cities, one ride at a time, for a more equitable future..

<p>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.</p>

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<p>With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. </p>

<p>If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you!</p>

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<h2><strong>Responsibilities:</strong></h2>

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<li>Contribute to the design, build, train and test of Machine Learning models</li>

<li>Write production-level code to convert ML models into working pipelines</li>

<li>Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context</li>

<li>Analyze experimental and observational data, communicate findings to support decisions</li>

<li>Participate in code and spec reviews to ensure code quality and distribute knowledge</li>

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<h2><strong>Experience:</strong></h2>

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<li><span style="font-weight: 400;">Currently pursuing a <strong>Bachelor's, Master's, or PhD degree in Computer Science or a related technical field </strong>from a <strong>university in Can

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