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Senior Applied Scientist

1 month ago

San Jose, California, United States Amazon Full time
Job Summary

Amazon's AGI Web & Knowledge Services group is seeking a highly skilled and innovative Applied Scientist to lead the development of cutting-edge Information Retrieval systems. As part of our esteemed AGI-IR team, you will play a pivotal role in designing and implementing efficient AI solutions for a multi-modal future at scale.

In this role, you will collaborate with renowned researchers and engineers to enable our customers to seamlessly interact with unstructured and semi-structured content through advanced capabilities like question answering, contextual search, and multi-turn dialogues. Your work will directly impact our customers in the form of products and services that leverage various machine learning, deep learning, and language model technologies.

Key Responsibilities
  • Leverage technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction, and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques.
  • Leverage Amazon's large-scale data and computing resources to accelerate advances in the state of the art.
  • Work backwards from customer needs and use that information to make trade-offs between different modeling approaches.
  • Collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems.
  • Report results to technical and business audiences in a manner that is statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment.
  • Drive best practices, helping to set high scientific and engineering standards on the team.
  • Promote the culture of experimentation and applied science at Amazon.
Requirements
  • Experience programming in Java, C++, Python, or related languages.
  • PhD or Master's degree and 3+ years of CS, CE, ML, or related field experience.
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
  • 1+ years of building models for business application experience.
Preferred Qualifications
  • PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation systems, or information retrieval.
  • Hands-on experience with Visual LLMs.
  • Publications at peer-reviewed NLP/ML conferences.
  • 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/disability-accommodations/