Senior/Staff Machine Learning Engineer - Product

Posted 2 Days Ago
San Francisco, CA
Senior level
Information Technology • Other • Social Media
The Role
You will develop and deploy machine learning models to improve user experience on Nextdoor. This includes gathering datasets, analyzing data, running live experiments, and collaborating with product and data science teams. You will also build foundational ML patterns and contribute to team culture through various in-person activities.
Summary Generated by Built In

#TeamNextdoor

Nextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.

Meet Your Future Neighbors

At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. 

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees.

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 be working closely with the product team and the Data Science team 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 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

What You’ll Bring To The Team

  • B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field
  • 4+ years of industry/academic experience in applying machine learning at scale
  • 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
  • Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is required
  • Experience mentoring junior engineers and planning roadmaps

Rewards

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

The starting salary for this role is expected to range from $195,000 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. Compensation may also vary by geography.

We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.

We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. 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.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.

#LI-Hybrid #LI-Remote

Top Skills

Python
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The Company
HQ: San Francisco, CA
780 Employees
On-site Workplace
Year Founded: 2011

What We Do

Nextdoor is where neighborhoods happen — and connections are made. Nextdoor connects neighbors to each other — and to everything nearby: Local businesses, services, news updates, recommendations and stuff for sale from the people down the block.

Building connections in the real world is a universal human need. That truth, and the reality that neighborhoods are among the most important communities in our lives, have been guiding principles for Nextdoor since the beginning.

Neighbors around the world rely on Nextdoor to:

- Recommend and discover local restaurants and shops
- Buy and sell gently used furniture and other goods
- Spread the word about a lost or found (!) pet
- Help neighbors with grocery runs or pharmacy pickups
- Meet neighbors over a cup of coffee or organize a walking group
- Stay up on the latest safety news from local public agencies

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