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Applied Scientist Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
France/UK/UAE +14 еще

Описание вакансии

Текст:
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TL;DR

Applied Scientist Intern (AI): Design and develop end-to-end AI and machine learning systems with an accent on generative AI, large language models, and advanced algorithms. Focus on inventing new solutions, collaborating with scientists, and deploying production-level projects in a customer-focused environment.

Location: Onsite in multiple EMEA countries including Austria, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK

Company

hirify.global is a leading global technology company focused on advancing AI research and deploying innovative solutions across various domains.

What you will do

  • Design and develop end-to-end AI and machine learning systems.
  • Write technical white papers and create project roadmaps.
  • Collaborate with Amazon scientists and interns to develop and deploy solutions.
  • Design new algorithms, models, and technical solutions.
  • Work within a customer-focused culture to solve complex problems.

Requirements

  • Must be enrolled in a MS or PhD program in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
  • Programming experience in Java, C++, Python or related languages
  • Onsite work required; remote internships are not available
  • Ability to work with diverse groups and cross-functional teams.

Nice to have

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

Culture & Benefits

  • Competitive internship stipend/salary.
  • Mentorship from experienced managers and scientists.
  • Networking opportunities with Amazon Science community.
  • Potential to publish work at top-tier conferences.