Machine Learning Engineer (Ads)

Description du poste

At Nextdoor, machine learning is one of the most important teams we are growing Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform, including newsfeed, notifications, ad relevance, connections, search, and trust Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange We believe that ML will be integral to making Nextdoor valuable to our members We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will work closely with the Product and Data Science teams on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform 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 Deploy ML models into production environments and integrate them into the product Run and analyze live user-facing experiments to iterate on model quality by measuring impact on business metrics Collaborate with other engineers and data scientists to create optimal experiences on the platform Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises Build in-person relationships with team members and contribute to Nextdoor’s company culture Benefits Monthly wellness stipend 12 weeks of parental, family or medical leave Global end of year shutdown Learning and development stipend Work from home opportunities

Annonce publiée sur Welcome to the Jungle et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.