Careers at Nextdoor

#Team Nextdoor 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 As Data Scientists at Nextdoor, you will have the opportunity to influence strategic decisions with product analytics, drive better experimentation and build online and offline ML solutions. We use a semi-embedded team structure, with data team members interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play a proactive and collaborative role in building and improving the product. 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 As a Senior Data Scientist on the Search team, you will shape how neighbors find the people, places, posts, and businesses that matter to them. You will own the data science behind query understanding, content retrieval, ranking, and the end-to-end search experience — partnering closely with ML, Engineering, PM, and Design to turn intent into outcomes. Search sits at the intersection of nearly every product surface at Nextdoor: it powers neighbor-to-neighbor discovery, connects neighbors to trusted local businesses (a core part of our marketplace and SMB strategy), and increasingly relies on LLM-driven query understanding and semantic retrieval to handle the long, conversational queries our neighbors actually ask. We are looking for an entrepreneurial, technically strong data scientist to accelerate this work and help define what "great search" means at Nextdoor. This is an analyst + builder role. We are looking for someone who is equally comfortable digging into messy data to find the insight that reframes a problem and rolling up their sleeves to prototype, ship, and iterate on the solution alongside engineering. You should be energized by both halves of that loop — neither a pure analyst who hands off recommendations nor a pure modeler who skips the "why" — and willing to work end-to-end from question to production impact. Successful candidates will exhibit deep technical acumen, strong product sense, and business savvy, with a passion for shipping. You are excited to go deep on ranking and recommendation systems, semantic retrieval, and the application of LLMs to query understanding and evaluation. Your responsibilities will include: Design and develop algorithms and models to optimize Search relevance, retrieval, and ranking — driving value for both neighbors and the businesses they discover Experiment design: ensure we run experiments efficiently and accurately, including monitoring early feature development through post-release follow-ups Develop and share key strategic insights through data analysis, including designing experiments and evaluating the performance and impact of data-driven content and ranking changes Build scalable metrics and dashboards to track Search performance and inform decisions across query understanding, retrieval, ranking, and downstream engagement Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations) Care deeply about data quality and empower employees to leverage data to help them succeed in their careers and help Nextdoor grow What You’ll Bring To The Team 5+ years of relevant Data Science experience Direct experience working on a Search, recommendations, or information retrieval product — familiarity with the core problems (query understanding, retrieval, ranking, relevance evaluation) and the metrics used to measure them Innate curiosity around finding meaningful insights that inform how we think about and develop our product and business strategies Working knowledge of ML models and — more importantly — the judgment to apply them to real business problems and to devise the right metrics for evaluating algorithms and ranking systems Strong working knowledge of experimentation, including designing and analyzing complex product A/B testing results, with fluency in handling interaction effects and long-term metric movement Expert knowledge of SQL and Python, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives, and compile compelling narratives Bonus Points Experience working with ranking algorithms for unstructured content Experience designing, deploying, or monitoring ML production models Basic understanding of how to build RAG systems 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 $175,000 - $234,000 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 also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 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 .

#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 In conjunction with product management and design, the engineering team at Nextdoor is responsible for bringing to life the experiences that empower neighbors to build stronger communities and transform how people connect and engage with their local area. Working in small cross-functional teams, you’ll work in an agile environment that values code quality, learning quickly, and personal growth through collaboration and challenge. You will collaborate with front end, back end, data science, infrastructure, and machine learning engineers to collectively improve the state of engineering at Nextdoor. All engineers are invited to join co-ops to facilitate continuous modernization and knowledge sharing. 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 As a Fullstack Engineer on Nextdoor’s Local Conversations team, you’ll join the Rewards & Incentives pod and help build product experiences that encourage meaningful participation in neighborhood communities. You’ll work across the frontend and backend, with a strong focus on building high-quality web experiences using React and Python/Django. You’ll contribute to two evolving product areas to start. This is a highly hands-on engineering role. You’ll contribute to entity-relationship modeling, solution architecture, implementation, testing, and iteration, while partnering with product, design, and engineering teammates. You’ll also participate in team operating practices, including a gradual on-call shadow rotation after onboarding and ramp-up. The team will review role-specific expectations with candidates during the hiring process. What You’ll Bring to The Team Experience building and shipping software in a production environment Strong frontend fundamentals and experience with modern JavaScript and React. This is an important part of the role Experience with a server-side web application language; Python/Django experience is strongly preferred Familiarity with SQL and developing across frontend and backend systems Ability to break down product requirements, collaborate on technical approaches, and implement maintainable solutions Strong collaboration and communication skills, both verbal and written Ability to be flexible and adaptable in a dynamic environment Interest in contributing ideas and product perspective, not just executing predefined tasks 2+ years of software development experience and a demonstrated ability to own projects with increasing independence. Level will be determined based on experience and demonstrated proficiency Experience with Storybook or other component-driven development practices is a plus Eagerness to explore and apply AI tools and emerging technologies to reimagine how work gets done Willingness to participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises, as applicable to your location Interest in building relationships with teammates and contributing to Nextdoor’s culture 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 $135,000- $200,000 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 .

#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 In conjunction with product management and design, the engineering team at Nextdoor is responsible for bringing to life the experiences that empower neighbors to build stronger communities and transform how people connect and engage with their local area. Working in small cross-functional teams, you’ll work in an agile environment that values code quality, learning quickly, and personal growth through collaboration and challenge. You will collaborate with front end, back end, data science, infrastructure, and machine learning engineers to collectively improve the state of engineering at Nextdoor. All engineers are invited to join co-ops to facilitate continuous modernization and knowledge sharing. 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 As a Fullstack Engineer on Nextdoor’s Local Conversations team, you’ll join the Rewards & Incentives pod and help build product experiences that encourage meaningful participation in neighborhood communities. You’ll work across the frontend and backend, with a strong focus on building high-quality web experiences using React and Python/Django. You’ll contribute to two evolving product areas to start. This is a highly hands-on engineering role. You’ll contribute to entity-relationship modeling, solution architecture, implementation, testing, and iteration, while partnering with product, design, and engineering teammates. You’ll also participate in team operating practices, including a gradual on-call shadow rotation after onboarding and ramp-up. The team will review role-specific expectations with candidates during the hiring process. What You’ll Bring to The Team Experience building and shipping software in a production environment Strong frontend fundamentals and experience with modern JavaScript and React. This is an important part of the role Experience with a server-side web application language; Python/Django experience is strongly preferred Familiarity with SQL and developing across frontend and backend systems Ability to break down product requirements, collaborate on technical approaches, and implement maintainable solutions Strong collaboration and communication skills, both verbal and written Ability to be flexible and adaptable in a dynamic environment Interest in contributing ideas and product perspective, not just executing predefined tasks 2+ years of software development experience and a demonstrated ability to own projects with increasing independence. Level will be determined based on experience and demonstrated proficiency Experience with Storybook or other component-driven development practices is a plus Eagerness to explore and apply AI tools and emerging technologies to reimagine how work gets done Willingness to participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises, as applicable to your location Interest in building relationships with teammates and contributing to Nextdoor’s culture 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 $135,000- $200,000 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 .

#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 As a Data Scientist at Nextdoor, you will help design and oversee product experiments and own complex analyses to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group consists of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, physics, statistics, and operations research. We are an integral part of the product development organization and play an active and collaborative role in building and improving the product. 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, inclusive work environment that embraces a hybrid employment model and provides flexibility 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 As a Data Scientist on the Monetization Team, you will drive revenue growth and advertiser value by focusing on the machine learning auction ads delivery layer. You’ll directly contribute to growing and improving our core Ads products and help lead us into the future of data and revenue at Nextdoor. Responsibilities will include shaping ranking models and objective functions, establishing an explainability layer for model feedback loops, and performing auction measurement. The role offers the opportunity to drive the roadmap and explore potential applications for artificial intelligence and large language models. We are looking for an entrepreneurial and driven candidate to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as Product, Engineering, Machine Learning, Sales & Finance to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. Your responsibilities may include: Design and develop algorithms and models to optimize Ads Marketplace performance, driving value for both end-users and Advertisers Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups Develop and share key strategic insights through data analysis, including designing experiments and evaluating the performance and impact of data-driven content Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations) 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 4+ years of relevant Data Science experience Experience in Ads Marketplace and/or Monetization experience Experience architecting, debugging, and executing complex SQL queries Excellent knowledge of Python, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn Experience formulating, running, and sharing complex analyses, including different types of experiments, causal inference studies, and other exploratory analysis work Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done Bonus Points Work experience related to social or community-based products Work experience related to small businesses and marketplaces Work experience related to advertising and auction systems Experience with agentic coding platforms such as Cursor or Windsurf 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 in the San Francisco area is expected to range from $153,000 to $208,000 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 how we collect and use applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here .

#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 As a Data Scientist at Nextdoor, you will help design and oversee product experiments and own complex analyses to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group consists of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, physics, statistics, and operations research. We are an integral part of the product development organization and play an active and collaborative role in building and improving the product. 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 We are looking for a Staff Data Scientist to accelerate execution on priority content investments and elevate the quality of product decision-making. This person will provide end-to-end data science ownership for new and emerging surfaces such as Video, Groups, and Events—areas with limited historical data that require strong product sense, pattern recognition, rapid hypothesis generation, rigorous diagnosis, and fast iteration. They will evaluate feature performance, including through non-standard A/B tests; identify opportunities to grow content supply, contributors, and engagement; partner with Distribution to improve discovery; and connect insights across surfaces to drive portfolio-level impact. The role will also own the data architecture and quality requirements for content data assets spanning supply, creators, viewers, entities, content types, and surfaces. This includes evolving legacy structures, identifying coverage and quality gaps, and partnering with Analytics Engineering to build and maintain source-of-truth tables and artifacts—an increasingly important foundation for reliable agentic analytics. Finally, we need a working statistician with strong theoretical training and practical experience to restore expertise in quasi-experiments, network experimentation with bias controls, and other sophisticated methods, ensuring the team can distinguish true product impact from confounding factors while maintaining both rigor and velocity. Your responsibilities will include: Partner with cross-functional teams - including product management, design, engineering, research - to support product development efforts Experiments: design and measure experiments to inform feature decisions Develop key strategic insights through exploratory data analysis to inform future investments or pivot in strategy Build scalable metrics and dashboards to empower efficient decision-making at Nextdoor 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 Staff-level Data Scientist or Tech Lead experience, ideally within the social media or consumer technology space Master’s degree or Ph.D. in Statistics Demonstrated expertise in non-randomized A/B testing, network testing, and advanced causal inference methods Experience owning end-to-end product analytics, from identifying opportunities and shaping strategy through launching and measuring new features Strong cross-functional collaboration skills, with a track record of building effective working relationships with Product, Engineering, and other partners The ability to operate as an autonomous technical leader and influence product direction through rigorous analysis, experimentation, and clear communication Expert knowledge of SQL and Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives, and compile compelling narratives Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done 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 base salary for this role is expected to range from $190,000 to $283,000 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 .

#Team Nextdoor 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