Nextdoor

Machine Learning Engineer - New Grad 2026

Nextdoor$150K — $175K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's Degree or Ph.D. in relevant quantitative fields, graduating by May 2026
  • Deep understanding of machine learning concepts and applications
  • Internship experience in machine learning engineering
  • Strong programming skills in Python or Java
  • Effective communication and collaboration skills
  • Passion for Nextdoor's mission
  • Bonus: Industry experience applying machine learning at scale

Responsibilities

  • Build and iterate on ML-driven products for creativity and engagement
  • Develop personalized content and user recommendation systems
  • Run and analyze live user-facing experiments for model iteration
  • Collaborate with engineers and data scientists
  • Participate in in-person team events and activities
  • Build relationships and contribute to company culture

Benefits

  • Access to comprehensive benefits including mental health and wellness
  • Flexible paid time off
  • Dedicated volunteer days
  • Stocked micro-kitchens and lunch at offices
  • Opportunity to join Employee Resource Groups (ERGs)
Full Job Description
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
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 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. 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.

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 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.

About Nextdoor

Nextdoor is a social networking service that connects people in local neighborhoods. The platform allows users to share information, ask for recommendations, and organize events with their neighbors. Nextdoor serves users in various countries, including the United States, the United Kingdom, and Australia. The company was founded in 2008 and is headquartered in San Francisco, California.
Learn more about Nextdoor
Size
1,000 employees
Market Cap
$684.5 million
Industry
Founded
2010
NASDAQ

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