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Applied Scientist Internship – Masters

AmazonHaifa и ещё 1 городВ офисеСтажировка
PythonJavaMachine LearningC++Generative AINLPComputer VisionAI-agentsStatistical AnalysisData Mining

Описание

This role is for Masters students across multiple research domains to invent, design, and implement state-of-the-art solutions for never-before-solved problems. Your work will ship to production and reach customers worldwide.

Responsibilities

  • Own the design and development of end-to-end systems
  • Write technical white papers, create roadmaps and drive production level projects that will support Amazon Science
  • Work closely with Amazon scientists and other science interns to develop solutions and deploy them into production
  • Design new algorithms, models, or other technical solutions whilst experiencing Amazon's customer focused culture

Requirements

  • Enrolled in a Master's degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
  • Experience programming in Java, C++, Python or related language
  • Speak, write, and read fluently in English

Nice to have

  • Publications at top-tier peer-reviewed conferences or journals
  • Experience in solving business problems through machine learning, data mining and statistical algorithms
  • Experience in designing experiments and statistical analysis of results
  • Experience implementing algorithms using both toolkits and self-developed code

We offer

  • Competitive salary
  • Interns are paired with an experienced manager and mentor(s)
  • Interns get invited to different intern program or office events
  • Interns can build their professional and personal network with other Amazon Scientists
  • Start dates are available throughout the year
  • Some teams offer full-time internships (3–6 months) while others offer part-time positions (50–60%, 8–12 months)
  • Interns may be considered for a return offer at the end of their internship, subject to performance evaluation and headcount availability
  • We do not offer remote internships

Hiring process

  • Submit a single application, and we'll match you with science teams best aligned with your research interests
  • Applications are reviewed on a rolling basis, and your application stays active until we find a team match or confirm there are no matches available