Machine Learning Infrastructure Engineer

#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 290,000 neighborhoods across 11 countries.

Meet your Future Neighbors

As a Machine Learning Infrastructure Engineer with Nextdoor, Inc. (San Francisco, CA) you’ll:

• Develop and optimize machine learning serving infrastructure to provide low latency online ML inference and efficient offline/batch data processing that utilizes ML models.
• Develop and iterate on a machine learning training platform that can train new models and optimize hyper parameters in a scalable, easy-to-use, and cost-efficient manner.
• Develop and iterate on a feature store that can store data to be used by ML models to train and serve ML models more efficiently.
• Communicate advancements in the development of new methods and infrastructure around ML by sharing progress to the broader technical community at Nextdoor.
• Collaborate with other engineers and data scientists to create optimal experiences on the platform and improve knowledge of ML.

What You’ll Bring to The House

• Bachelor’s degree, or foreign equivalent, in Mathematics, Statistics, Management Information Systems, Engineering, or a closely related quantitative discipline.
• One (1) year of experience in the position offered or as a Software/Data Engineer, Computational/Data Scientist, or closely related position.
• Must have demonstrated experience in the following: Utilizing data processing languages or tools such as HIVE, PRESTO and/or SPARK; Utilizing machine learning model frameworks such as Sci-kit learn, Tensorflow, XGBoost, and/or PyTorch; Utilizing programming languages, such as Python, SQL, Scala and/or Java, to develop new machine learning techniques and improve statistical and machine learning model performance; Utilizing Amazon Web Services or Google Cloud Platform to deploy machine learning models; Building or improving a scalable system to train or optimize machine learning models; and Building or improving machine learning models that utilize time series data, customer or tabular data, or image/video data.

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 customers 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.