Lyft is seeking a Staff Applied Scientist specializing in Machine Learning and Operations Research to develop mathematical models and productionize algorithms that power pricing and ETA decisions. You will build ML and optimization models and production-grade pipelines that scale to millions of calls per day while solving critical business problems that impact the marketplace and rider experience. The role offers exposure to a range of real-world problems across optimization, prediction, machine learning, and inference, and you will collaborate closely with teams in Pricing, Product, Engineering, and Analytics.
Lyft is seeking a Staff Applied Scientist specializing in Machine Learning and Operations Research to develop mathematical models and productionize algorithms that power pricing and ETA decisions. You will build ML and optimization models and production-grade pipelines that scale to millions of calls per day while solving critical business problems that impact the marketplace and rider experience. The role offers exposure to a range of real-world problems across optimization, prediction, machine learning, and inference, and you will collaborate closely with teams in Pricing, Product, Engineering, and Analytics.
Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically within the business context. Write production-quality code; design, build and deploy production-grade ML and optimization models; develop custom methods and tooling beyond off-the-shelf libraries. Conduct data analysis and build proof-of-concepts to explore and propose ML and optimization solutions for new and existing problems. Evaluate machine learning systems against business goals; collaborate with Engineers to implement algorithms in live systems and ensure robustness. Establish metrics and development methodologies to monitor the health of our products and their impact on users and the marketplace. Drive collaboration across cross-functional teams. Experience: MS or PhD in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields; 2+ years of algorithms experience in a technology company set
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Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically within the business context. Write production-quality code; design, build and deploy production-grade ML and optimization models; develop custom methods and tooling beyond off-the-shelf libraries. Conduct data analysis and build proof-of-concepts to explore and propose ML and optimization solutions for new and existing problems. Evaluate machine learning systems against business goals; collaborate with Engineers to implement algorithms in live systems and ensure robustness. Establish metrics and development methodologies to monitor the health of our products and their impact on users and the marketplace. Drive collaboration across cross-functional teams. Experience: MS or PhD in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields; 2+ years of algorithms experience in a technology company set
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