Nextdoor Logo

Nextdoor

Senior Machine Learning Engineer - Ads

Reposted 18 Days Ago
Remote
Hiring Remotely in US
190K-355K Annually
Mid level
Remote
Hiring Remotely in US
190K-355K Annually
Mid level
The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.
The summary above was generated by AI
#TeamNextdoor

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. Download the app and join the neighborhood at nextdoor.com.

Meet Your Future Neighbors

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. 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. 

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.

We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home 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.

The Impact You’ll Make
  • 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
What You’ll Bring To The Team
  • B.S. in Computer Science, Applied Math, Statistics, Computational Biology, or a related field
  • 5+ years of industry/academic experience in applying machine learning at scale
  • Experience in building ML models for advertising products
  • Proven engineering skills. 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

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.

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. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.

#LI-Hybrid #LI-Remote

Similar Jobs

4 Days Ago
In-Office or Remote
228K-469K Annually
Senior level
228K-469K Annually
Senior level
Social Media
Lead technical strategy and build production-scale ads ranking and bidding models using large-scale ML and agentic development loops. Design training, evaluation, and feedback pipelines that learn from online behavior and experimentation, ensure reliability, fairness, and compliance, and partner with product, science, and infra teams to drive metrics and mentor engineering talent.
Top Skills: Agentic Development LoopsAIC++Deep LearningExperimentation PlatformsGradient Boosted TreesLarge-Scale MlMl InfrastructureMultimodal DataPython
An Hour Ago
Remote or Hybrid
Pennsylvania, USA
71K-166K Annually
Junior
71K-166K Annually
Junior
Digital Media • Information Technology • News + Entertainment
Full‑stack .NET developer responsible for writing, maintaining and optimizing code, designing APIs and system architecture, implementing unit/integration tests, supporting deployments, troubleshooting performance issues, and collaborating with QA and stakeholders. May work variable hours including nights/weekends.
Top Skills: AjaxAngularAsp.NetBootstrapperC#Continuous IntegrationCSSEntity FrameworkGitHTMLIisIocJavaJavaScriptJqueryJSONLinqMvc 5Net Core 2.0Net FrameworkOrmSalesforce Experience CloudSap AbapSQL ServerTfsTypescriptVb.NetVisual StudioWeb ApiXML
An Hour Ago
Remote or Hybrid
Pennsylvania, USA
84K-196K Annually
Senior level
84K-196K Annually
Senior level
Digital Media • Information Technology • News + Entertainment
Design, build, test, and deploy scalable Salesforce solutions across multi-cloud environments using Apex, LWC, Visualforce, declarative tools and integrations (MuleSoft/REST/SOAP). Lead configuration, data modeling, CI/CD, code reviews, troubleshooting, and Agile delivery while mentoring junior engineers and supporting platform governance and long-term architectural alignment.
Top Skills: ApexCi/CdCopadoCSSFlowsGitHTMLJavaScriptLightning App BuilderLightning Web Components (Lwc)Media CloudMulesoftRest ApisSales CloudSalesforce Experience CloudService CloudSoap ApisSOQLSoslVisualforce

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account