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2023 Applied Science Internship - Machine Learning, Deep Learning, NLP, NLU, Machine Translation

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Amazon

Jan 11, 2023

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • London

Requirements

  • BASIC QUALIFICATIONS
  • Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
  • Experience in any programming language such as Python, Java, C++, or similar scripting and programming languages
  • PREFERRED QUALIFICATIONS
  • Publications at top-tier peer-reviewed conferences or journals.
  • Experience in design of experiments and statistical analysis
  • Experience implementing algorithms using toolkits and self-developed code
  • Experience in solving business problems through machine learning, data mining and statistical algorithms
  • Familiar with the core undergraduate curriculum of computer science.
  • Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
  • Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.

Responsibilities

  • Work closely with scientists and engineering teams (position-dependent)
  • Work on an interdisciplinary team on customer-obsessed research
  • Design new algorithms, models, or other technical solutions
  • Experience Amazon's customer-focused culture

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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