Machine Learning Engineer - Community Notes

Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we’re 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: $127,000 to $297,000 USD

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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 state-of-the-art in improving the quality of information on the internet and we employ an experimental, fast-moving, iterative approach to find product solutions that work for people of all different points of view.

What You’ll 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 cross-functional collaborations with product/eng/etc

Qualifications:

• Experience developing and shipping high-impact ML solutions end-to-end: 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 real-world data to extract insights, inform product roadmap and develop guiding metrics in situations that lack cut-and-dry evaluation criteria

• Familiarity with one or more deep learning software frameworks, e.g. PyTorch

• Enjoy working in a 0-to-1 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 fast-paced team and empower the people to keep each other better informed.