Applied Scientist, AWS Developer Tools Science

Role Overview

We seek an Applied Scientist passionate about creating developer tools and services enhanced by generative AI and machine learning, specifically focusing on Large Language Model (LLM)-based solutions tailored for the cloud developer experience. This role involves close collaboration with various AWS teams such as AWS IDE Toolkit, AWS Bedrock, AWS MCPs, and Agent Toolkit, as well as contributing to aws-bench, an open-source agent benchmarking project.

Responsibilities

• Develop and enhance LLMs, AI agents, and agentic tools for business uses using Python and open-source libraries.
• Create benchmarks to assess AI agent performance on AWS workloads, identify areas for improvement, and develop supporting documentation and tools to optimize agent interactions with AWS.
• Ensure the technical quality of products by driving modeling and design improvements that add value for scientists and engineers.
• Understand challenges developers face in cloud-based solutions and craft generalized solutions.
• Work collaboratively with developers to transition solutions into production and resolve technical obstacles in cross-team initiatives.
• Document and disseminate research internally through documentation, presentations, and external scientific publications.

About AWS Utility Computing

AWS Utility Computing (UC) is responsible for foundational and innovative services such as Amazon S3 and Amazon EC2. It covers diverse areas including Compute, Database, Storage, IoT, Platform, and Productivity Apps services. Roles like Amazon Dedicated Cloud provide specialized security solutions for cloud services.

Team Culture and Values

AWS embraces diversity, encourages applications from candidates with various backgrounds, and fosters an inclusive environment. We emphasize curiosity, connection, and an inclusive culture backed by employee affinity groups and regular inclusion events. Our commitment to career growth includes mentorship, knowledge sharing, and professional development. Work-life balance is valued with flexible working hours and arrangements.

Qualifications

• PhD or Master's degree in Computer Science, Computer Engineering, Machine Learning, or related fields.
• Experience creating models for business applications.
• Contributions such as patents or publications in prestigious peer-reviewed conferences or journals.
• Proficiency in programming languages like Java, C++, or Python.
• Knowledge in algorithms and data structures, parsing, numerical optimization, data mining, parallel/distributed computing, and high-performance computing.
• Expertise in designing deep learning architectures, training, optimization, and model pruning.

Preferred Qualifications

• Familiarity with Unix/Linux environments.
• Professional experience in software development.

Equal Opportunity Statement

Amazon is an equal opportunity employer committed to diversity and inclusion, making decisions based on skills and experience. We handle data privacy seriously and provide accommodations for disabilities throughout the hiring process to ensure an inclusive experience.