Applied Scientist, AGI
17 hours ago
Job ID: 2763192 | Amazon.com Services LLC
Amazon's AGI Web & Knowledge Services group is seeking a passionate, talented, and inventive Applied Scientist to lead the development of industry-leading structured Information retrieval systems. As part of our cutting-edge AGI-SIR team, you will play a pivotal role in developing efficient AI solutions for Knowledge Graphs, Graph Search and Question Answering Systems.
In this role, your work will focus on creating scalable and efficient AI-driven technologies that push the boundaries of information retrieval. You will work on a broad range of problems, from low-level data processing to the development of novel retrieval models, leveraging state-of-the-art machine learning methods.
Key job responsibilities:
- Lead the development of advanced algorithms for knowledge graphs, graph search and question answering systems, guiding the team in solving complex problems and setting technical direction.
- Design models that address customer needs, making informed trade-offs to balance accuracy, efficiency, and user experience.
- Collaborate with engineering teams to implement successful models into scalable, reliable Amazon production systems.
- Present results to technical and business audiences, ensuring clarity, statistical rigor, and relevance to business goals.
- Establish and uphold high scientific and engineering standards, driving best practices across the team.
- Promote a culture of experimentation and continuous learning within Amazon’s applied science community.
- Experience programming in Java, C++, Python or related language.
- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience.
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects).
- 1+ years of building models for business application experience.
- PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, or information retrieval.
- Hands-on experience with Visual LLMs.
- Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, CVPR).
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
- Experience with distributed systems, web services, or large-scale data processing.
- Good written and spoken communication skills.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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