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Machine Learning Engineer – Product
| Company | Nextdoor |
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| Location | San Francisco, CA, USA |
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| Salary | $195000 – $251000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Junior, Mid Level |
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Requirements
- B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field
- 1+ years of industry experience in applying machine learning at scale
- Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is required
- Experience building ML models for consumer-facing products
- Proven engineering skills, with 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
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.
- Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform
- Analyze datasets and 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 the 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
Preferred Qualifications
No preferred qualifications provided.
