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Machine Learning Engineer - New Grad 2026
Nextdoor
H1B ✓Hybridentry levelPosted March 27, 2026
About the Role
Team members will build and iterate on ML-driven products to enhance creativity, discovery, and engagement, while also developing personalized content and user recommendation systems relied upon by millions daily. Responsibilities include running and analyzing live user-facing experiments to improve model quality and collaborating with product and data science teams.
Requirements
Candidates must possess a Master's Degree or Ph.D. in a relevant quantitative field, graduating in late 2025 or 2026, along with a deep understanding of machine learning concepts like deep learning and applications such as recommender systems. Essential qualifications include strong programming skills in Python or Java and prior internship experience in machine learning engineering.
Full Job Description
#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 340,000 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 critical teams we are growing. ML is transforming our product through personalization, driving significant impact across various platform components, 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. 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 machine learning 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 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 Impact You’ll Make
You will be part of an avid 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 be working closely with the product team and the Data Science team on a daily basis.
Build and iterate on ML-driven products to foster creativity, discovery, and engagement on Nextdoor
Develop personalized content and user recommendation systems that millions of users rely on daily
Run and analyze live user-facing experiments to iterate on model quality
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
We have MLE positions across multiple tracks, including Feed, Notifications, Ads, Network Growth, Knowledge Graph, and ML Platform.
What You’ll Bring To The Team
Master’s Degree or Ph.D. in Computer Science, Applied Math, Statistics, or a related field, graduating in December 2025/May-June 2026
Deep understanding of machine learning concepts (e.g. deep learning) and applications (e.g. recommender systems, knowledge graph)
Internship in machine learning engineering in a related field (e.g. social networking, e-commerce)
Strong programming skills in Python or Java
Effective communication and collaboration skills
Passion for Nextdoor’s mission and purpose
Bonus Points - Industry experience of applying machine learning at scale
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. Compensation may also vary by geography.
The starting salary for this role is expected to be $150,000 to $175,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.
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.
Perks & Benefits
We’ve got you covered! We are dedicated to supporting your personal and professional growth with a comprehensive benefits package that includes:
Access to benefits (including mental health benefits, commuter benefits, wellness benefits, gender affirming care, etc)
Flexible paid time off
Dedicated volunteer days
Stocked micro-kitchens and lunches at our offices
Ability to join any of our Employee Resource Groups (ERGs)
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 seek to serve. We encourage everyone interested in our purpose 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 Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
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 340,000 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 critical teams we are growing. ML is transforming our product through personalization, driving significant impact across various platform components, 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. 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 machine learning 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 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 Impact You’ll Make
You will be part of an avid 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 be working closely with the product team and the Data Science team on a daily basis.
Build and iterate on ML-driven products to foster creativity, discovery, and engagement on Nextdoor
Develop personalized content and user recommendation systems that millions of users rely on daily
Run and analyze live user-facing experiments to iterate on model quality
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
We have MLE positions across multiple tracks, including Feed, Notifications, Ads, Network Growth, Knowledge Graph, and ML Platform.
What You’ll Bring To The Team
Master’s Degree or Ph.D. in Computer Science, Applied Math, Statistics, or a related field, graduating in December 2025/May-June 2026
Deep understanding of machine learning concepts (e.g. deep learning) and applications (e.g. recommender systems, knowledge graph)
Internship in machine learning engineering in a related field (e.g. social networking, e-commerce)
Strong programming skills in Python or Java
Effective communication and collaboration skills
Passion for Nextdoor’s mission and purpose
Bonus Points - Industry experience of applying machine learning at scale
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. Compensation may also vary by geography.
The starting salary for this role is expected to be $150,000 to $175,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.
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.
Perks & Benefits
We’ve got you covered! We are dedicated to supporting your personal and professional growth with a comprehensive benefits package that includes:
Access to benefits (including mental health benefits, commuter benefits, wellness benefits, gender affirming care, etc)
Flexible paid time off
Dedicated volunteer days
Stocked micro-kitchens and lunches at our offices
Ability to join any of our Employee Resource Groups (ERGs)
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 seek to serve. We encourage everyone interested in our purpose 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 Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.