Machine Learning Engineer - Product, Entry Level (San Francisco) Job at SupportFinity, San Francisco, CA

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  • SupportFinity
  • San Francisco, CA

Job Description

Machine Learning Engineer - Product, Entry Level

Machine Learning Engineer - Product, Entry Level

1 day ago Be among the first 25 applicants

Nextdoor is a private social networking platform that connects neighbors for them to exchange helpful information, goods, and services. The Machine Learning Engineer will be responsible for building data-intensive products, developing machine learning models, and collaborating closely with product and data science teams to enhance the platform's capabilities.

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 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 Nextdoors company culture

Qualifications:

B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field

1+ years of industry experience in applying machine learning at scale

Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is required

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

Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done

Company:

Nextdoor is a private social networking platform that connects neighbors for them to exchange helpful information, goods, and services. Nextdoor has a track record of offering H1B sponsorships.

Seniority level

  • Seniority level

    Entry level

Employment type

  • Employment type

    Full-time

Job function

  • Industries

    Software Development

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Job Tags

Full time, H1b,

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