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In this role, you will tackle complex challenges in Natural Language Processing and Information Retrieval, working at the intersection of advanced AI research and practical business applications. Working alongside fellow scientists, engineers, and product leaders, you will develop context-aware AI solutions that streamline our transportation operations. The person in this role will have a deep interest in applied AI research and experience building practical, large-scale machine learning systems.
Key job responsibilities
- Design and implement advanced AI systems that leverage deep learning and natural language processing at enterprise scale
- Create intelligent agent frameworks that combine LLMs with structured and unstructured data sources to drive automated insights
- Establish frameworks for continuous model improvement through automated feedback loops and performance monitoring
- 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 in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Strong foundation in Machine Learning, NLP, and Information Retrieval
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
- Demonstrated expertise in: LLM-powered agent development and orchestration, RAG implementations, particularly GraphRAG, and AWS AI Services (Bedrock, SageMaker)
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