Senior/Staff Machine Learning Engineer - Ads

Nextdoor is the essential neighborhood network connecting neighbors, public agencies, and businesses. They are seeking a Senior/Staff Machine Learning Engineer to build data-intensive products and machine learning models that enhance their platform's capabilities, particularly in advertising and community engagement.

Responsibilities:

• 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
• You will work closely with the Product and Data Science teams on a daily basis
• Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform
• Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform
• Analyze datasets and use important features to build low-latency models for decisions that need to be made quickly
• Deploy ML models into production environments and integrate them into the product
• Run and analyze live user-facing experiments to iterate on model quality by measuring impact on business metrics
• 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

Requirements:

• B.S. in Computer Science, Applied Math, Statistics, Computational Biology, or a related field
• 5+ years of industry/academic experience in applying machine learning at scale
• Experience in building ML models for advertising products
• Proven engineering skills. Experience in writing and maintaining high-quality production code
• Ability to work with and analyze large amounts of data
• Ability to succeed in a dynamic startup environment