Applied Scientist • Mid-Level

Who you are

You have a strong background in machine learning and data technologies, with experience in developing scalable solutions that enhance customer experience. Your expertise in NLP and computer vision allows you to tackle complex problems related to multi-modal understanding and task automation. You are familiar with deep learning techniques and statistical methods, enabling you to design and deploy innovative solutions that impact millions of customers.

You possess a solid understanding of both supervised and unsupervised learning techniques, and you have experience with multi-task learning and multi-label classification. Your skills in pattern recognition and anomaly detection are complemented by your ability to process and analyze text and images effectively. You are passionate about leveraging technology to improve customer experiences and are eager to contribute to foundational ML research.

Desirable

Experience with generative AI platforms and large language models (LLMs) is a plus, as is familiarity with task automation in retail or e-commerce environments. You thrive in collaborative settings and are excited about working with cross-functional teams to drive impactful results.

What you'll do

As an Applied Scientist II, you will be responsible for designing and deploying scalable GenAI, NLP, and computer vision solutions that address key customer experience issues. You will develop novel LLMs and deep learning techniques to automate tasks and enhance the quality of product data. Your work will involve text processing, image processing, and the application of advanced statistical techniques to solve real-world problems.

You will collaborate with other scientists and engineers to define research objectives and ensure that your solutions are aligned with business goals. Your role will require you to stay updated on the latest advancements in machine learning and data technologies, applying this knowledge to improve existing systems and processes.

You will also be involved in conducting experiments to validate your models and techniques, ensuring that they meet the high standards expected by Amazon. Your contributions will directly impact the content visible to millions of customers, making your work both challenging and rewarding.

What we offer

At Amazon, you will be part of a dynamic team that values innovation and collaboration. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will have access to cutting-edge technologies and resources to help you succeed in your role. Join us in our mission to enhance customer experiences and drive the future of retail through technology.