Machine Learning Engineer - Community Notes
at X (Twitter)
📍 New York City, United States
📍 Los Angeles, United States
📍 Palo Alto, United States
📍 San Jose, United States
📍 Seattle, United States
📍 Los Angeles, United States
📍 Palo Alto, United States
📍 San Jose, United States
📍 Seattle, United States
USD 127,000-297,000 per year
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
GitHub @ 3
Machine Learning @ 3
PyTorch @ 2
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
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.
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.
Benefits
Join our small and fast-paced team and empower the people to keep each other better informed.
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