The Learning Experience #328
Senior / Staff Machine Learning Engineer - Ads
The Learning Experience #328, California, Missouri, United States, 65018
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Bay Area, CA, USA$213,000 to $355,000Full TimeRole Highlights
Data ScienceComputer ScienceSearchDataSetsMathematicsStatisticsStartupTools, Libraries and Frameworks
ADSDescription
At Nextdoor, machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. The role involves building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform, analyze datasets, and use important features to build low-latency models for decisions that need to be made quickly. The role also includes deploying ML models into production environments and integrating them into the product, running and analyzing live user-facing experiments to iterate on model quality by measuring impact on business metrics.About the company
Nextdoor aims to cultivate a kinder world where everyone has a neighborhood they can rely on, extending its services to more than 315,000 neighborhoods across 11 countries. Their platform enables neighbors to receive trusted information, give and get help, get things done, and build real-world connections with nearby residents, businesses, and public services. The Data Science group at Nextdoor includes diverse professionals with backgrounds in economics, psychology, geology, physics, statistics, and operations research. They operate with a semi-embedded team structure, directly interfacing with product and engineering stakeholders, and emphasize the role of mathematical decision science in product development.
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Bay Area, CA, USA$213,000 to $355,000Full TimeRole Highlights
Data ScienceComputer ScienceSearchDataSetsMathematicsStatisticsStartupTools, Libraries and Frameworks
ADSDescription
At Nextdoor, machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. The role involves building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform, analyze datasets, and use important features to build low-latency models for decisions that need to be made quickly. The role also includes deploying ML models into production environments and integrating them into the product, running and analyzing live user-facing experiments to iterate on model quality by measuring impact on business metrics.About the company
Nextdoor aims to cultivate a kinder world where everyone has a neighborhood they can rely on, extending its services to more than 315,000 neighborhoods across 11 countries. Their platform enables neighbors to receive trusted information, give and get help, get things done, and build real-world connections with nearby residents, businesses, and public services. The Data Science group at Nextdoor includes diverse professionals with backgrounds in economics, psychology, geology, physics, statistics, and operations research. They operate with a semi-embedded team structure, directly interfacing with product and engineering stakeholders, and emphasize the role of mathematical decision science in product development.
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