2017 Summer Intern - Engineering

Are you interested in the world of machine learning and big data?

Quantcast seeks smart, curious, technically savvy candidates to join our world-class engineering team. We hire the best and brightest and give engineers starting out their careers the opportunity to work on industry-leading technologies at a scale few companies in the world see.

Our team is comprised of engineers and research scientists from a wide variety of technical and academic backgrounds. We are building systems that make 10 billion machine learning predictions per second to target and optimize content for online users realtime and we're used by the biggest brands in the world. Our focus areas include machine learning, mathematical modeling, big data platforms, distributed storage systems, peta-scale data processing pipelines, and data visualization.

We use all sorts of technology to make this possible - including a variety of languages:
javascript / angular / react / d3 / java / scala / spark / python / pandas / sklearn / tensorflow


Your Responsibilities:

  • You will be working in one or more of the following areas:

  • Data Visualization: making our mind-blowingly large and complex datasets beautiful and understandable (tech: javascript ?angular / react / d3)
  • Big Data: Engineering systems to extract signals from peta-scale datasets (tech: java / scala / kafka / spark)
  • Machine Learning and Data Science: Experimenting to push the boundaries of what's possible (tech: python / pandas / sklearn / tensorflow)

Our Requirements:

  • Currently pursuing Bachelor’s, Master’s, or PhD degree in computer science, software engineering, electrical engineering, machine learning, mathematics, statistics, or related field
  • Graduation date between Dec 2017 and June 2019
  • Experience with Java / Scala / Python / Javascript
  • Exceptional communication skills (verbal, written and presentation)

Quantcast is a fast-growing, late-stage, pre-IPO startup headquartered in San Francisco with offices around the world. We are committed to creating an inclusive and diverse environment where everyone can confidently be their authentic self.

Meet Some of Quantcast's Employees

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Lindsey M.

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Lindsey looks at performance targeting pipelines for Quantcast to pinpoint inefficiencies. Then, she shares processed insights on customer targeting to make it better down the road.


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