Machine Learning Engineer - Community Notes

Details

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!

Responsibilities

• 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.
• Build efficient, scalable internal production machine learning systems and infrastructure.
• Contribute to the entire product via tight cross-functional collaborations with product/engineering/etc.

Requirements

• 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.