Note: The job is a remote job and is open to candidates in USA. 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
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
- Warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees.
- Health plans (employees can choose between a variety of health plans, including a 100% covered employee only plan option).
- OneMedical membership for concierge care.
- We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.
Company Overview
Company H1B Sponsorship