Machine Learning Engineer Intern - Summer 2023

Toronto, ON

Internship Senior-level / Expert USD 45K - 150K *

#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 295,000 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 interns 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 an avid 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 introduce more and more machine learning into our platform.

  • 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 intern positions across multiple tracks including ML infra, Feed, Notifications, Ads, Network Growth, and Knowledge Graph. Our paid internships are typically 12 weeks, based out of our office in San Francisco, though given COVID-19 concerns, we have held these 100% virtually in 2020 and 2021 with a hybrid option in 2022.

What You’ll Bring to the Team

  • Currently pursuing a Master's degree or PhD  in Computer Science, Applied Math, Statistics, or a related field 
  • Deep understanding of machine learning concepts (e.g. deep learning) and applications (e.g. recommender systems, knowledge graph)
  • 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

Bonus Points

  • Internship in machine learning engineering in a related field (e.g. social networking, e-commerce) 

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 customers 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. 

* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net

Tags: Computer Science Deep Learning E-commerce Engineering Machine Learning ML models PhD Python Recommender systems Scala Statistics

Perks/benefits: Career development Flex hours Startup environment

Region: North America
Country: Canada
Job stats:  43  11  0
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