About the position
Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby - neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 305,000 neighborhoods across 11 countries. 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.
Responsibilities
- 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.
- 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, trainings, off-sites, volunteer days, and other team building exercises.
- Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values.
Requirements
- B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field
- 2+ years of industry/academic experience of applying machine learning at scale
- Experience building ML models for consumer facing products
- Proven engineering skills, with experience of 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
- Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graph, Ads or NLP at scale is required
- Experience mentoring junior engineers and planning roadmaps
Benefits
- The starting salary for this role is expected to range from $190,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.
- Compensation may also vary by geography.
- We also expect to award a meaningful equity grant for this role, with equal quarterly vesting, your first vest date would be within the first 3 months of your start date.
- Nextdoor employees can choose between a variety of great health plans, covering 100% of your personal monthly premium for health, dental, and vision.
- OneMedical membership for concierge care.
