Software Development Engineer Intern role focused on building AI-powered features for the OpenSearch platform. Responsibilities include developing code, designing distributed systems, and applying AI/ML techniques to enhance search relevancy and performance. The role involves contributing to an agent framework for intelligent data analysis and optimizing user interactions, with a secondary focus on the underlying inference systems.

The Applied Scientist Intern will work on improving Amazon's product search service by designing and integrating machine learning models using TB-scale data. The role involves balancing business metrics and response times, and requires a PhD student in Computer Science, AI, ML, or related fields with experience in ML experiment design, statistical analysis, and coding.

This role focuses on designing, developing, and maintaining data infrastructure and ETL pipelines to support business intelligence initiatives, with a specific emphasis on implementing AI/LLM-powered solutions for task automation and statistical analysis for business decision-making. The role involves collaborating with cross-functional teams to build AI-ready foundational capabilities within the Global Selling organization.

Software Development Engineer Intern role focused on building AI-based automation technology operations platforms. Responsibilities include designing and developing scalable user interfaces, data structures, and algorithms, with a need to understand basic AI/ML algorithms. Requires collaboration with engineering teams for feature implementation and deployment.

Software Development Engineer Intern focused on building AI-based automation technology operations platforms, requiring design and development of scalable systems and collaboration with engineering teams. Basic qualifications include CS fundamentals and understanding of AI/ML algorithms, with preferred qualifications in GenAI, LLMs, and Agentic AI systems.

Software Development Engineer Intern focused on building AI-based automation technology operations platforms, requiring design and development of scalable systems and collaboration with engineering teams. Basic qualifications include CS fundamentals and understanding of AI/ML algorithms, with preferred qualifications in GenAI, LLMs, and Agentic AI systems.

This role focuses on Business Intelligence (BI) and Data Engineering for a supply chain product. The engineer will partner with stakeholders to understand insights needs, model complex problems, and use statistical and visualization techniques to derive insights. Responsibilities include developing metrics and dashboards, performing deep-dives, root cause analysis, and working with engineering teams on data capture and storage. The role requires strong SQL, Python, and AWS skills, with experience in data manipulation, statistical analysis, and BI tools like Tableau.

This role focuses on developing and optimizing thermal solutions for consumer electronic products, utilizing simulation tools, analytical and experimental methods, and programming languages like Python and Matlab. It involves concept design, system validation, and collaboration with multidisciplinary teams.

This role focuses on applying expertise in physical sciences and simulation tools (LS-DYNA, Abaqus) to design and optimize consumer electronics products for manufacturing. It involves developing scalable models, conducting research into materials and analysis techniques, and working with engineering teams to validate and implement hardware design solutions. Programming skills in Python and Matlab are used for analytical and automation tasks.