Applied Scientist, EUCF L&D, EUCF L&D LEAP team

Amazon; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as an Applied Scientist, where you will leverage your expertise in NLP and GenAI to develop innovative learning products. In this impactful role, you'll collaborate with a diverse team to create solutions that enhance the learning experiences of thousands of Associates. Your contributions will not only drive operational improvements but also shape the future of learning within the organization. If you are passionate about AI and eager to make a difference, this is the opportunity for you to thrive and grow in a dynamic environment.

Qualifications

• PhD or Master's in CS, CE, ML or related field required.
• Experience with NLP and GenAI applications is essential.

Responsibilities

• Lead the development of AI solutions for learning experiences.
• Collaborate with cross-functional teams to implement AI models.

Skills

NLP

GenAI

Data Analysis

Mentoring

Problem Solving

Education

PhD in Computer Science

Master's degree in Computer Science

Tools

Java

C++

Python

AWS

Unix/Linux

Job description

Applied Scientist, EUCF L&D, EUCF L&D LEAP team

Job ID: 2947430 | Amazon Business EU SARL (UK) - H91

Amazon EU Customer Fulfillment Learning and Development is seeking an Applied 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

1. 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.
2. 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.
3. 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.
4. Communicate the technical solutions and their business impact to stakeholders, ensuring alignment with organizational goals and building trust through clear, data-driven results.
5. Mentor and develop other scientists within the team, promoting technical excellence and the adoption of best practices in AI modeling and solution development.
6. 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.
7. 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

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

PREFERRED QUALIFICATIONS

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

Posted: January 23, 2025 (Updated about 1 month ago)