Senior Machine Learning Engineer - Ads

The Role

The Impact You’ll Make

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

Qualifications

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package.

The starting salary for this role is expected to range from $205,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.

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.

With quarterly vesting, your first vest date will take place within 3 months of your start date.

When it comes to benefits, we have you covered!

Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.

To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply.

We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people.

In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.