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.
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What We Do
We serve the public conversation. We believe real change starts with conversation. That’s why it matters to us that people have a free and safe space to talk. We put people first. Be you, really. That’s how we build trust. Together we’re creating a culture that’s supportive, respectful, and a pretty cool vibe. Sure, we’re not perfect, we’re people. But we’re open and honest about who we are and what we do.
Why Work With Us
Life’s not about a job, it’s about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we’ll do what’s right (not what’s easy) to serve the public conversation.
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