Amazon is seeking to address sustainability challenges by leveraging advanced AI solutions, including Generative AI, Large Language Models (LLMs), and Agentic AI, to support its long-term sustainability strategy and become a more environmentally and socially responsible company.
Requirements
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience using Unix/Linux
- Experience in professional software development
Responsibilities
- Design, build, and optimize robust data and modeling pipelines for sustainability applications, including the development of sophisticated Retrieval-Augmented Generation (RAG) pipelines.
- Implement scalable solutions for data scraping, cleaning, and preparation, utilizing Agentic AI and LLMs to extract information from diverse unstructured data sources.
- Build data and modeling pipelines for ingestion, pre-processing, and post-processing, generating scientifically consistent and traceable data-cards and model performance metrics.
- Derive insights, build data models, and develop machine learning and LLM solutions for sustainability, collaborating with scientists on data engineering tasks.
- Leverage Agentic AI agents for autonomous information extraction, advanced data scraping, and other foundational engineering tasks to expand the data/model catalog.
- Partner closely with scientists, software developers, and sustainability specialists to define data needs, refine modeling requirements, and communicate actionable insights to stakeholders.
- Continuously research and integrate data science methodologies, agentic AI and LLM advancements, and emerging datasets to improve sustainability domain-specific knowledge bases.
Other
- Work safely and cooperatively with other employees, supervisors, and staff
- Adhere to standards of excellence despite stressful conditions
- Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service
- Follow all federal, state, and local laws and Company policies
- Ability to exercise sound judgment, manage stress, and work safely and respectfully with others
