$205,000 to $355,000 annualized; equity: meaningfu...
Remote
Building data-intensive products
Building machine learning models
Deploying ml models into production
Nextdoor is seeking a Senior Machine Learning Engineer to join its team remotely, focusing on developing data-intensive products that leverage machine learning to enhance local community connections. The ideal candidate will have extensive experience in applying machine learning in advertising and proven engineering skills to support the company's mission of fostering neighborhood engagement
Job Summary
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.
Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform.
Nextdoor employees can choose between a variety of great health plans, covering 100% of your personal monthly premium for health, dental, and vision.
Matching Summary
Match Score: 85
Nextdoor is seeking a Senior Machine Learning Engineer to join its team remotely, focusing on developing data-intensive products that leverage machine learning to enhance local community connections. The ideal candidate will have extensive experience in applying machine learning in advertising and proven engineering skills to support the company's mission of fostering neighborhood engagement.
Salary
$205,000 to $355,000 annualized; Equity: Meaningful equity grant with quarterly vesting; Benefits: 100% premium coverage for health, dental, vision, OneMedical membership
Skills & Requirements
Must-have
building data-intensive products
building machine learning models
deploying ML models into production
analyzing large amounts of data
experience in building ML models for advertising products
Nice-to-have
eager to explore and apply AI
succeed in a dynamic startup environment
contribute to Nextdoor’s company culture
Key Requirements
5+ years of industry/academic experience
B.S. in Computer Science, Applied Math, Statistics, Computational Biology, or a related field