Applied scientist in machine learning

Amazon Science; Berlin; On-site; EUR 20,000 - 27,000; Full time

Benefits offered by this job

Competitive salary

Mentored by experienced manager

Intern program events

Networking with Amazon Scientists

Job summary

Amazon Science ищет аспирантов на стажировку в области прикладной науки. Вы будете проектировать и внедрять end-to-end ML-системы, писать технические материалы и развивать дорожные карты, которые попадут в продакшн и будут доступны клиентам по всему миру.

Вы будете тесно сотрудничать с учёными Amazon и другими стажёрами, разрабатывать алгоритмы и модели (NLP, мультимодальные системы) и помогать их развёртыванию.

Qualifications

• Зарегистрирован на PhD в области CS/ML/инженерии.
• Опыт программирования на Java, C++ и Python.
• Свободное владение английским языком (устная и письменная).
• Публикации в топовых конференциях — плюс.

Responsibilities

• Разработка и внедрение end-to-end ML-систем.
• Написание технических белых книг, дорожных карт и документов проектов.
• Работа над производственными проектами совместно с учёными Amazon.
• Проектирование алгоритмов и моделей, в т.ч. NLP и мультимодальные системы.
• Сотрудничество в межфункциональных командах и разворачивание решений в продакшн.

Skills

Java

C++

Python

English

Education

PhD in Computer Science / ML / Engineering

Tools

ML toolkits

Job description

Описание:

We're looking for PhD students across multiple research domains to invent, design, and implement state-of-the-art solutions for never-before-solved problems. Your work here won't just stay in a notebook - it ships to production and reaches customers worldwide.

Задачи:

As an Applied Science Intern, you will own the design and development of end-to-end systems. You'll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon's customer focused culture. The ideal intern should have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. You'll spend your first weeks scoping your project with your mentor, then own the research and implementation end-to-end. Your work could involve building NLP and multimodal ML systems that help customers make smarter purchase decisions, developing computer vision and motion planning for autonomous robotic picking, creating LLM-based tools for automated troubleshooting and synthetic data generation, advancing multilingual ML models that scale Amazon features across languages, or tackling query optimization challenges for distributed database systems at cloud scale - depending on the team you're matched with.

Требования:

• Are enrolled in a PhD in computer science, machine learning, engineering, or related fields
• Experience programming in Java, C++, Python or related language
• Speak, write, and read fluently in English
• Будет плюсом: Have publications at top-tier peer-reviewed conferences or journals; Experience in designing experiments and statistical analysis of results; Experience implementing algorithms using toolkits and self-developed code; Experience in solving business problems through machine learning, data mining and statistical algorithms

Условия:

• All of our internships offer a 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
• Interns can potentially publish work at top tier conferences
• Start dates are available throughout the year for durations of between 3–6 months. Please note we do not offer remote internships.