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Machine Learning Engineer - Community Notes
Jobleads-US San Francisco, CA
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$132k-169k (estimate)
Full Time 1 Day Ago
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Jobleads-US is Hiring a Machine Learning Engineer - Community Notes Near San Francisco, CA

Machine Learning Engineer - Community Notes page is loaded

Machine Learning Engineer - Community Notes

Apply locations San Francisco, CA New York City, NY Los Angeles, CA San Jose, CA Seattle, WA time type Full time posted on Posted 30 Days Ago job requisition id R100185

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 a trusted global digital public square, committed to minimal censorship within legal boundaries. 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: San Francisco, San Jose, Seattle, Los Angeles, New York City

Base Salary Range: $127,000 to $297,000 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 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.

If you thrive in a dynamic, high-growth tech environment and relish the opportunity to collaborate with passionate, driven over-achievers, your career with us here at X will be both exhilarating and fulfilling!

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At X, things will never be boring—we offer tough, but exciting challenges, meaningful tasks and the chance to have real impact on what is bound to evolve into the ultimate everything app.

Get In Touch

Chat with our Recruiting team to learn more about available roles and opportunities at X. 

About Us

We build the world's most trusted public town square—and we pride ourselves on our commitment to protecting free speech within the boundaries of the law. Beyond that, we aim to increase unregretted user minutes on our platform, and make it the best place on the internet for creators to share content and make money.

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Job Summary

JOB TYPE

Full Time

SALARY

$132k-169k (estimate)

POST DATE

04/27/2024

EXPIRATION DATE

05/12/2024

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