Machine Learning Infra Engineer, Core ML - New Grad 2025

#TeamNextdoor

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.

Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 340,000 neighborhoods across 11 countries.

Meet Your Future Neighbors

At Nextdoor, Machine learning is transforming our product through personalization, and driving major impact across different parts of our platform including newsfeed, notifications, ads 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 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.

Our New Grad positions are based in our offices in San Francisco. We offer a hybrid work environment, with the expectation to work in the office six times per month. Learn more about the experiences of our new grads here.  

The Impact You’ll Make

You will be part of a scrappy and impactful team building data-intensive products, working with data and features. You will help build the foundational Machine Learning (ML) infrastructure that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform. You should be comfortable with petabytes of data, writing crisp design documentation, and building, debugging, and maintaining highly available distributed systems. The Machine Learning platform that you build will empower developers throughout Nextdoor to build better ML products more quickly than ever before.  

• You will design, implement and integrate the next generation of Machine Learning infrastructure to empower our Data Scientists and Machine Learning engineers to build machine learning (ML) models that make real-time decisions for the Nextdoor platform.
• You will collaborate with other engineers and data scientists to create optimal experiences on the Core ML platform, including but not limited to: the feature store, the real-time serving layer and the offline training system.

What You’ll Bring To The Team

• Internship in machine learning engineering in a related field (e.g. social networking, e-commerce)
• Deep understanding of machine learning concepts (e.g. deep learning) and applications (e.g. recommender systems, knowledge graph)
• A deep empathy for customer needs and insights as well as an intuitive grasp of the business problems we’re trying to solve
• Strong collaboration and communication skills, both verbal and written
• Strong programming skills in Python, Golang or Kotlin
• Effective communication and collaboration skills
• Ability to succeed in a dynamic startup environment
• Passion for the Nextdoor’s mission and purpose

Bonus Points

• Master’s Degree or Ph.D. in Computer Science, Applied Math, Statistics, or a related field
• Industry experience of applying machine learning at scale 
• Extensive experience in one or more of the following languages: Python, Kotlin, Go, Java, or Scala.
• Experience with Python, Kubernetes, Go, Kafka, Docker, Spark, SQL, AWS and the Unix environment.
• Experience with machine learning libraries and frameworks like Xgboost, Sklearn, TensorFlow, PyTorch, etc.

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. 

The base salary for this role is $150,000 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.

Benefits

We’ve got you covered! We are dedicated to supporting your personal and professional growth with a comprehensive benefits package that includes:

• A variety of health plans, and a OneMedical membership for concierge care
• Flexible paid time off
• Dedicated volunteer days
• Monthly wellness stipend
• Mental health support
• Gender affirming care
• Stocked micro-kitchens and lunches at our offices

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 San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.