2 months ago
Base Salary
$205k - $355k/yr
Responsibilities
- Collect and prepare datasets for machine learning models that make real-time platform decisions.
- Analyze large datasets and features to build low-latency machine learning models.
- Deploy machine learning models to production and integrate them into Nextdoor products.
- Run and analyze live user-facing experiments to improve model quality and business metrics.
- Collaborate with Product, Data Science, engineers, and other stakeholders to create optimal platform experiences.
- Help establish foundational patterns for future machine learning engineers.
- Participate in company trainings, off-sites, volunteer days, team-building activities, and in-person culture-building efforts.
Requirements
- Bachelor’s degree in Computer Science, Applied Math, Statistics, Computational Biology, or a related field.
- At least 5 years of industry or academic experience applying machine learning at scale.
- Experience building machine learning models for advertising products.
- Proven engineering ability, including 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 work model combining in-office and work-from-home work, with in-person expectations near offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.
- Meaningful equity grant with quarterly vesting and a first vest date within 3 months of starting.
- Multiple health plan options, including a 100% covered employee-only plan option.
- OneMedical membership for concierge care.
- Additional compensation, benefits, perks, and recognition programs as part of the total rewards package.
Categories
About Nextdoor
Nextdoor builds a neighborhood social network and local marketplace where residents, small businesses, and public agencies share information, recommendations, and listings. The app is free to use and monetized through local and national advertising, sponsored posts, and paid business tools and listings. It is a public company on the NYSE and is used in more than 350,000 neighborhoods across 11 countries.