The Shopping Conversation Foundation (SCF) team at Amazon is dedicated to providing foundational capabilities that enable Product, Engineering and Science teams across Rufus, Search, and Alexa Shopping to build, evaluate, and improve large language model (LLM)-based shopping experiences. Our focus areas involve evaluating the quality of the customer experience of AI powered applications, enhancing the customer experience by providing LLMs with up-to-date world knowledge from first-party and third-party data sources, serving high-quality training data for new LLM features (e.g., Multimodal) and Alexa Shopping Remarkable Alexa (RA), and building, serving, and maintaining trustworthy datasets for Rufus and Alexa Shopping.

As a Senior Software Development Engineer in the SCF org, you will specialize in building engineering solutions for information retrieval problems on unstructured and noisy data at internet scale. You’ll tackle challenges such as retrieving relevant information from vast amounts of unstructured data sources like product specifications, expert opinions and customer reviews. You will need to make high-judgment decisions when proposing trade-offs between factors such as computational efficiency, and data privacy, and work closely with cross-functional stakeholders to understand business requirements and propose innovative solutions.

We embrace a collaborative and inclusive culture where diverse perspectives are valued, and creativity thrives. We foster a growth mindset, continuously learning and pushing the boundaries of what's possible in the field of machine learning, generative AI and natural language processing.

Key job responsibilities
- Research, design, and develop cutting-edge information retrieval solutions to address complex challenges in the shopping domain, such as retrieving relevant information from unstructured and noisy data sources at internet scale.

- Design, develop, test and deploy large scale distributed data processing systems with reliable performance in production environments.

- Design, develop, test, and deploy inference solutions for high-end large language models (LLMs) and other machine learning models, ensuring efficient and reliable performance in production environments.

- Mentor and guide junior software development engineers, fostering their growth and development through knowledge sharing, code reviews, and hands-on coaching.

- Contribute to the overall growth and development of the team by staying up-to-date with the latest advancements in machine learning, information retrieval, and sharing your expertise through technical presentations, documentation, and training sessions.