Note: The job is a remote job and is open to candidates in USA. Nextdoor is a neighborhood network connecting neighbors, public agencies, and businesses through local information and community technology. The Senior/Staff Machine Learning Engineer will build and deploy machine learning models for advertising products and real-time platform decisions, analyze data and experiments, and collaborate with Product, Data Science, and engineering teams to improve user experiences.
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
Skills
- 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
Benefits
- Hybrid employment model, blending an in office presence and work from home experience
- Meaningful equity grant for this role, with quarterly vesting; first vest date within 3 months of start date
- A variety of health plans, including a 100% covered employee only plan option
- OneMedical membership for concierge care
Company Overview
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