Twitter
ML Infrastructure Engineer
Twitter, San Francisco, California, United States, 94199
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!Location:
San Francisco or New YorkBase Salary Range:
$142,000 USD - $226,000 USDWho We Are:
At X, we’re pioneering the frontier of technology with our innovative Everything App. Our mission is to revolutionize how people connect, share ideas, and engage in meaningful conversations. We champion freedom of speech and strive to create a platform that embraces diverse perspectives. Our commitment is to foster open dialogue and empower individuals to express themselves freely.We value:Writing code rather than documentsShipping products rather than talking about roadmapsBig features rather than changing button colorsIf this sounds like you, let’s talk.Your Role:
As an ML Infrastructure Engineer, you will play a pivotal role in providing the most reliable and performant ML Platform experience on X. Your responsibilities will include:Enabling teams to quickly test and iterate on their ML hypotheses via ML training capabilities, reliable GPU compute infrastructure and experimentation tools such as distributed deep learning libraries and Python notebooksIntegrating X’s GPU compute environment with large scale data and inference pipelinesCollaborating with cross-functional teams to integrate machine learning models into our platformEnsuring scalability and efficiency of machine learning systemsWorking across the stack to solve problems independentlyMentoring junior engineers and contributing to the team's growthWho You Are:
We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact. The ideal candidate will have:Bachelor, Master, Post-graduate or PhD in computer science, computing engineering, machine learning, information retrieval, recommendation systems, natural language processing, statistics, math, engineering, operations research, or other quantitative discipline; or equivalent work experience2+ years of industry experience (4+ for Senior) working with high traffic or large data production environments, distributed systems, backend infrastructure, recommender systems and/or deep learning applications2+ years experience (4+ for Senior) with ML problems and platform tools either through first-hand modeling or close collaboration with modeling engineers or data scientistsWorking knowledge of Jupyter notebooks and Python, plus experience with a compiled language, such as Scala, Java or C++Nice to haves:
You stay up-to-date on Machine Learning and Deep Learning industry trendsYou have low level understanding of compute systems such as distributed storage, NVIDIA drivers and CUDA toolkitsYou are comfortable with Linux systemsYou have worked with Slurm scheduler, Puppet or AnsibleAt X, our small but fast-paced team values innovation, creativity, and a strong commitment to our mission. As an ML Infrastructure Engineer/ Senior ML Infrastructure Engineer, you'll have the opportunity to make a significant impact on the future of X and our aspiration to build the Everything App.If you're an exceptional engineer who shares our passion for freedom of speech, we'd love to hear from you.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!Why work here?
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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San Francisco or New YorkBase Salary Range:
$142,000 USD - $226,000 USDWho We Are:
At X, we’re pioneering the frontier of technology with our innovative Everything App. Our mission is to revolutionize how people connect, share ideas, and engage in meaningful conversations. We champion freedom of speech and strive to create a platform that embraces diverse perspectives. Our commitment is to foster open dialogue and empower individuals to express themselves freely.We value:Writing code rather than documentsShipping products rather than talking about roadmapsBig features rather than changing button colorsIf this sounds like you, let’s talk.Your Role:
As an ML Infrastructure Engineer, you will play a pivotal role in providing the most reliable and performant ML Platform experience on X. Your responsibilities will include:Enabling teams to quickly test and iterate on their ML hypotheses via ML training capabilities, reliable GPU compute infrastructure and experimentation tools such as distributed deep learning libraries and Python notebooksIntegrating X’s GPU compute environment with large scale data and inference pipelinesCollaborating with cross-functional teams to integrate machine learning models into our platformEnsuring scalability and efficiency of machine learning systemsWorking across the stack to solve problems independentlyMentoring junior engineers and contributing to the team's growthWho You Are:
We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact. The ideal candidate will have:Bachelor, Master, Post-graduate or PhD in computer science, computing engineering, machine learning, information retrieval, recommendation systems, natural language processing, statistics, math, engineering, operations research, or other quantitative discipline; or equivalent work experience2+ years of industry experience (4+ for Senior) working with high traffic or large data production environments, distributed systems, backend infrastructure, recommender systems and/or deep learning applications2+ years experience (4+ for Senior) with ML problems and platform tools either through first-hand modeling or close collaboration with modeling engineers or data scientistsWorking knowledge of Jupyter notebooks and Python, plus experience with a compiled language, such as Scala, Java or C++Nice to haves:
You stay up-to-date on Machine Learning and Deep Learning industry trendsYou have low level understanding of compute systems such as distributed storage, NVIDIA drivers and CUDA toolkitsYou are comfortable with Linux systemsYou have worked with Slurm scheduler, Puppet or AnsibleAt X, our small but fast-paced team values innovation, creativity, and a strong commitment to our mission. As an ML Infrastructure Engineer/ Senior ML Infrastructure Engineer, you'll have the opportunity to make a significant impact on the future of X and our aspiration to build the Everything App.If you're an exceptional engineer who shares our passion for freedom of speech, we'd love to hear from you.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!Why work here?
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.
#J-18808-Ljbffr