Research Scientist , EUCF L&D LEAP team

Amazon Deutschland Transport GmbH; Berlin; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Join Amazon's EU Customer Fulfillment Learning and Development as a Research Scientist in Berlin. Lead the creation of next-generation learning products using NLP and GenAI to enhance the experiences of thousands of Associates. Your expertise will drive impactful learning solutions while collaborating with a diverse team to tackle complex challenges.

Qualifikationen

• Experience in building models for business applications.
• Strong understanding of GenAI or NLP fundamentals.
• Proficiency in designing large-scale data pipelines.

Aufgaben

• Lead the development of innovative AI solutions focusing on NLP and GenAI.
• Work with cross-functional teams to research, design, and implement AI models.
• Mentor and develop team members promoting technical excellence.

Kenntnisse

NLP

GenAI

Data Analysis

Programming in Java

Programming in C++

Programming in Python

Cloud Infrastructure

Ausbildung

PhD in CS, CE, ML or related field

Master's degree in CS, CE, ML or related field

Tools

Unix/Linux

AWS Technologies

Jobbeschreibung

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Research Scientist, EUCF L&D LEAP team, Berlin

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Client:

Location:

Berlin, Germany

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

f14743860d45

Job Views:

2

Posted:

27.06.2025

Expiry Date:

11.08.2025

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Job Description:

Amazon EU Customer Fulfillment Learning and Development is seeking a Research Scientist to lead the development of next-generation learning products using NLP and GenAI. In this role, you will act as the GenAI subject matter expert, working closely with scientists, business intelligence engineers, instructional designers, and other key stakeholders to create innovative learning solutions. Your contributions will directly shape the learning experiences of hundreds of thousands of Associates across Amazon Operations in the EU, making an impactful difference in their journey.

Key job responsibilities
Apply technical expertise to lead the development of innovative AI solutions, focusing on NLP and GenAI technologies that drive impactful learning experiences and operational improvements.
Work closely with cross-functional teams, including scientists, engineers, instructional designers, and business stakeholders, to research, design, and implement AI models that address complex challenges in learning and development.
Use data analysis and large-scale computing resources to understand and improve user experiences, ensuring the developed tools effectively meet the needs of the L&D team and operators.
Communicate the technical solutions and their business impact to stakeholders, ensuring alignment with organizational goals and building trust through clear, data-driven results.
Mentor and develop other scientists within the team, promoting technical excellence and the adoption of best practices in AI modeling and solution development.
Tackle large, complex problems by designing AI models that address both current and future challenges, contributing to the creation of scalable, robust solutions for L&D and operational performance improvement.
Contribute to the hiring process by identifying top talent and helping to build a high-performing team of scientists and engineers.

About the team
Be part of Amazon’s EUCF L&D Science and Analytics team, where we blend science, strategy, and data to solve the most pressing challenges in learning and development. As a key player in a cross-functional team of scientists, program managers, and business analysts, you’ll create solutions that empower hundreds of thousands of Associates in EU warehouses to learn and grow. Your work will shape Amazon’s learning programs and make a lasting impact on hundreds of thousands of Amazon Associates.

BASIC QUALIFICATIONS

PhD, or a Master's degree and experience in CS, CE, ML or related field
Experience in building models for business application
Experience programming in Java, C++, Python or related language
Strong understanding of GenAI or NLP fundamentals and passionate about the latest research in this field
Proficiency in designing and implementing large-scale data pipelines, and cloud-based data infrastructure

PREFERRED QUALIFICATIONS

Experience using Unix/Linux
Experience in professional software development
Hands-on experience developing and deploying NLP and GenAI applications, such as machine translations, text to text, and text to image generation
Knowledge of RAG and its applications
Experience with fine-tuning and deploying Large Language Models (LLMs) for learning GenAI applications
Knowledge of prompt engineering
Experience with AWS technologies