Summary written by USA Jobs 24 from Nextdoor's advert and our data on 17,030 current US jobs. How we check every job
At a glance
Nextdoor is hiring a Machine Learning Engineer - Ads in San Francisco, CA. It is a full-time fully remote role in Data, AI & Analytics, asking for at least 5 years of experience, first listed on November 1. The advertised pay is $205,000–$355,000 a year. The description mentions Machine learning and Statistics. Nextdoor has 19 other openings in the US, 11 of them in San Francisco, CA. Across all employers on USA Jobs 24 there are 434 Data & AI openings in San Francisco, CA today; the typical one asks for 5 years and advertises about $235,000 a year at the midpoint.
How the pay compares
Nextdoor advertises $205,000 to $355,000 a year, a midpoint of $280,000 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is higher than about 81% of the 559 data & AI jobs in California that publish a yearly rate on USA Jobs 24, where the typical midpoint is $229,000 a year. To see roughly what this leaves after federal and California tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,778 data & AI jobs we list today. Machine learning is the most widely requested (38% of jobs), while Statistics is the least common (22%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on Nextdoor's Greenhouse site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check where you can work from. This job is listed as remote. Many US employers can only hire remote staff in states where they run payroll, so look for a list of states in the advert below.
- Match the experience. The advert asks for at least 5 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Machine learning and Statistics, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Nextdoor's own site. Our Apply button goes straight to Nextdoor's Greenhouse page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Nextdoor
Nextdoor has 20 openings on USA Jobs 24 today across 4 states. Most are in software & IT (5), product & design (4) and sales & BD (4). The biggest locations are San Francisco, CA (12), Dallas, TX (4) and New York, NY (4). 55% of them are remote, none is marked entry level and 95% show pay. We collect Nextdoor's jobs every day straight from its own careers system (Greenhouse), never from job boards or agencies.
The employer's advert
This is Nextdoor's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from NextdoorHide the advert800 words
#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
USA Jobs 24 copied this listing from Nextdoor's official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Nextdoor will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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