Software Engineer - Machine Learning Core Environment - Cortex at Twitter
New York, New York, United States
🇺🇸 (Posted Jun 2 2018)
About the company
Come help us make Twitter the best place for finding what the world is saying, live!
Who We Are:
Cortex is a team of software engineers, data scientists, and research scientists dedicated to developing state-of-the-art machine learning capabilities to refine and transform our products.
Twitter is the heartbeat of the world: it is the only platform that offers insight into everything that is happening live. Our challenge: content that's posted on our platform is very rich, and our users' interests very diverse. Machine learning can help us connect users to the right content, and improve the quality of our products.
Who You Are:
You have a passion for machine learning and improving the ways people consume the world, live. You are excited to join an incredibly talented, and fun team which loves to take on new challenges. You like a fast-paced & fun environment, believe in Twitter’s mission in the world and want to be a core actor in pushing it forward.
What You’ll Do:
You will work with our team of machine learning experts and software engineers to design, architect and maintain the next iterations or our deep learning platform, used all through the company and within our latest products. You will be a cornerstone in transforming Twitter through machine learning. You will have the option to work closely with our internal customers, as well as contribute to the open source community.
Skills & requirements
Extensive experience with low-level programming (C, C++, Vectorization, …)
Experience with software engineering best practices (e.g. unit testing, code reviews, design documentation)
Strong algorithms and data structures background
BS, MS, or PhD in Computer Science, Electrical Engineering or equivalent work experience
Familiarity with TensorFlow
Familiar with Machine Learning and/or Deep Learning
Experience with CUDA (GP-GPU) programming
Instructions how to apply
see the job site
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