data
Posted May 28Senior Machine Learning Engineer - Ads
at Neighbor
United StatesHybrid
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 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, 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.
- At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow.
- We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.
- 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
- B.S. in Computer Science, Applied Math, Statistics, Computational Biology, or a related field
- experience in applying machine learning at scale •
- Experience in building ML models for advertising 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 Rewards
Experience
- 5+ years of industry/academic
Benefits
- Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package.
- Compensation will vary depending on your relevant skills, experience, and qualifications.
- The starting salary for this role is expected to range from $205,000 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.
- The salary range will be determined by the candidate’s geographic location.
- We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.
- When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.
Contact
- Download the app and join the neighborhood at nextdoor.com .
Additional details
- 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 350,000 neighborhoods across 11 countries.
- Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale.
- 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.
- We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home
- 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.
- You will work closely with the Product and Data Science teams on a daily basis.
- Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
- At Nextdoor, we empower our employees to build stronger local communities.
- To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve.