ML Engineering Lead

US Remote

Applications have closed

#TeamNextdoor

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.

Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 300,000 neighborhoods across 11 countries.

Meet Your Future Neighbors

At Nextdoor, Machine Learning is one of the most important teams we are growing. Machine learning is transforming our product through personalization, and 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 machine learning engineering managers who believe in the power of the local community to empower our members to make their communities great places to live.  

The Impact You’ll Make

You will be part of our impactful ML team and leading ML for a vertical product (newsfeed or ads, to name a couple). This team is 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 introduce more and more machine learning into our platform.

Your responsibilities will include:

  • Manage and grow a team of ML engineers
  • Partner with Product and Engineering closely to create a roadmap for ML modeling
  • Help build a scalable and reliable machine learning platform that manages features, model training, testing, and deployment
  • Collect and gather datasets to build machine learning models that make real-time decisions for the Nextdoor platform
  • 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

We have EM positions across multiple tracks including Feed, Notifications, Ads, Network Growth, and Knowledge Graph.

What You’ll Bring To The Team

  • Bachelor's Degree  in Computer Science, Applied Math, Statistics, or a related field required, Master’s Degree or Ph.D. preferred
  • Deep understanding of machine learning concepts (e.g. deep learning) and applications (e.g. recommender systems, search, knowledge graph)
  • 2-3 years of experiences in leading a machine learning team in a related field (e.g. social networking, e-commerce)
  • Strong programming skills in Python, Java, or Scala
  • Effective communication and collaboration skills
  • Ability to be flexible and adaptable in a fast-paced startup environment
  • Desire to learn about new technologies and systems
  • Passion for the Nextdoor’s mission and purpose
  • Experience growing a team, and mentoring engineers to facilitate career development

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 $183,000 to $243,000 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 seek to serve. We encourage everyone interested in our purpose 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.

#LI-Remote

Tags: Computer Science Deep Learning E-commerce Engineering Machine Learning Mathematics ML models Model training Python Recommender systems Scala Statistics Testing

Perks/benefits: Career development Equity Flex hours Health care Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  17  3  0

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