Machine Learning Engineer - Community Notes
Machine Learning Engineer - Community Notes
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$ 127000 - 297000
1 Vacancy
Job Description
Are you prepared to join the X team and help build the ultimate realtime informationsharing app revolutionizing how people connect At X were on a mission to become the trusted global digital public square committed to protecting freedom of speech and building the future unlimited interactivity. Our goal is to empower every user to freely create and share ideas fostering open public discourse without barriers. Join us in shaping this thrilling journey where your contribution will be invaluable to our success!
Role: Machine Learning Engineer Community Notes (All Levels)Location: Palo Alto San Jose Seattle Los Angeles New York City
Base Salary Range: $127000 to $297000 USD
Who We Are:
X serves our community of users and customers by working tirelessly to preserve free expression and choice create limitless interactivity and create a marketplace that enables the economic success of all its participants.
We are the Community Notes team empowering the people to keep each other better informed with a fully open source algorithm and data. Community Notes is constantly advancing the stateoftheart in improving the quality of information on the internet and we employ an experimental fastmoving iterative approach to find product solutions that work for people of all different points of view.
What Youll Do:
Design and build improvements to our unique machine learning algorithm that improve Community Notes helpfulness accuracy scale speed and manipulation resistance
Work in public: contribute to our open source code base supporting external researchers and people working with our public data . For example.
Build efficient scalable internal production machine learning systems and infrastructure
Contribute to the entire product via tight crossfunctional collaborations with product/eng/etc
Qualifications:
Experience developing and shipping highimpact ML solutions endtoend: from getting your hands dirty creating training data pipelines to developing novel model architectures to deploying to production at scale reliably
Demonstrated ability to work with realworld data to extract insights inform product roadmap and develop guiding metrics in situations that lack cutanddry evaluation criteria
Familiarity with one or more deep learning software frameworks e.g. PyTorch
Enjoy working in a 0to1 space with no known machine learning or product solutions and trailblazing to build novel solutions that work
Love doing whatever work is needed to get things done enabling rapid iteration on the product
Join our small and fastpaced team and empower the people to keep each other better informed.
Employment Type
Full-Time
