Senior Machine Learning Engineer - Notifications/Feed

<h4><strong>#Team</strong><strong>Nextdoor</strong></h4> <p>Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at <a href="http://nextdoor.com/"><strong>nextdoor.com</strong></a>.</p> <h4><strong>Meet Your Future Neighbors</strong></h4> <p>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, ads 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 an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. </p> <p>At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.</p> <h4><strong>The Impact You’ll Make</strong></h4> <ul> <li>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 be working closely with the product team and the Data Science team 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</li> <li>Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform</li> <li>Analyze datasets and use important features to build low-latency models for decisions that need to be made quickly</li> <li>Deploy ML models into production environments and integrate them into the product</li> <li>Run and analyze live user-facing experiments to iterate on model quality by measuring the impact on business metrics</li> <li>Collaborate with other engineers and data scientists to create optimal experiences on the platform</li> <li>Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises</li> <li>Build in-person relationships with team members and contribute to Nextdoor’s company culture</li> </ul> <h4><strong>What You’ll Bring To The Team</strong></h4> <ul> <li>4+ years of industry experience in applying machine learning at scale </li> <li>Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is required</li> <li>Experience building ML models for consumer-facing products</li> <li>Proven engineering skills, with experience in writing and maintaining high-quality production code</li> <li>Ability to work with and analyze large amounts of data</li> <li>Ability to succeed in a dynamic startup environment</li> <li>Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done</li> <li>B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field</li> </ul> <h4><strong>Rewards</strong></h4> <p>Compensation, benefits, perks, and recognition programs at Nextdoor co ... (truncated, view full listing at source)