data
Posted Feb 2Senior Machine Learning Engineer - Notifications/Feed
at Neighbor
United StatesRemote
Responsibilities
- 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 the impact on business metrics
- Collaborate with other engineers and data scientists to create optimal experiences on the platform
- Build in-person relationships with team members and contribute to Nextdoor’s company culture What You’ll Bring To The Team
Requirements
- 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.
- 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.
- 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
- experience in applying machine learning at scale •
- Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is required •
- Experience building ML models for consumer-facing products
- experience in writing and maintaining high-quality production code
- Ability to work with and analyze large amounts of data
- Ability to succeed in a dynamic startup environment