The Amazon Fulfillment Technologies (AFT) Science team is looking for an Applied Scientist with strong Deep Learning and Large Language Models background, to develop critical algorithms for generating reasoning and explainability for some key algorithms driving warehouse management processes on Amazon’s Fulfillment Network. We’re working to improve operations management within 4-walls of Amazon Fulfillment Center by using the conversational capabilities of large language models on existing algorithms, and developing online learning mechanisms. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. Key job responsibilities Develop novel algorithms and modeling techniques to advance the state of the art with LLMs Analyze, understand, and model the operator (user/customer) behavior and the customer experience based on large scale data Build novel online & offline evaluation metrics and methodologies. Develop an understanding and domain knowledge of operational processes, system architecture and functions, and business requirements. Drive scalable and hands-off-the-wheel solutions. Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders. Partner with engineers to integrate prototypes into production systems. -Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing. Set high standards of coding and integrate successful models and algorithms in production systems. Use the best practices in science: data integrity, design, test, and implementation and documentation. Contribute to Amazon's Intellectual Property through patents and internal and external publications. Drive best practices on the team; mentor and guide junior members to achieve their career growth potential. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team Amazon Fulfillment Technology (AFT) designs, develops and operates the end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FC). We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it. The AFT Science team has expertise in computer vision, deep learning, operations research, optimization, scheduling, planning, simulation, and machine learning. We also have domain expertise in the operational processes within the FCs and their defects. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners. We influence each stage of innovation from inception to deployment which includes both developing novel solutions or improving existing approaches. Resulting production systems rely on a diverse set of technologies, our teams therefore invest in multiple specialties as the needs of each focus area evolves.
March 26, 2021In the future, says Amazon Scholar Emine Yilmaz, users will interact with computers to identify just the information they need, rather than scrolling through long lists of results.
