Senior Machine Learning Engineer, Recommendations

At Lyft, a Most Loved Workplace® certified employer 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>

<p>With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.</p>

<p>If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.</p>

<p>We are seeking a <strong>Senior Machine Learning Engineer</strong> to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science.</p>

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

<ul>

<li><strong>Model Development & Research:</strong> Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions.</li>

<li><strong>System Design:</strong> Architect scalab

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