Sr. Applied Scientist (AI)

TL;DR

Sr. Applied Scientist (AI): Developing a next-generation web-scale information retrieval system to support RAG applications across Amazon with an accent on novel retrieval and ranking models, content and query understanding, and information grounding for LLMs. Focus on inventing, developing, and deploying scalable algorithms, conducting multi-year research roadmaps, and coaching junior scientists.

Location: Must be based in the USA (California - Sunnyvale or Washington - Bellevue)

Salary: $192,200.00–$260,000.00 USD annually (Sunnyvale, CA) or $167,100.00–$226,100.00 USD annually (Bellevue, WA)

Company

Amazon’s Artificial General Intelligence (AGI) organization is developing a next-generation web-scale information retrieval system to support RAG applications across Amazon.

What you will do

• Lead a team of scientists to improve RAG applications.
• Develop novel retrieval and ranking models and partner closely with engineering to improve model performance.
• Improve content and query understanding models to deliver improved signal to retrieval and ranking models.
• Partner closely with content acquisition and client teams to ensure delivery and enhance information grounding for LLMs.
• Develop science roadmaps for critical web search components.
• Publish your work and remain active in academic communities; coach and develop junior scientists.

Requirements

• 3+ years of experience building machine learning models for business applications.
• PhD or Master's degree with 6+ years of applied research experience.
• Experience programming in Java, C++, or Python.
• Experience with neural deep learning methods and machine learning.
• Experience with conducting research in a corporate setting.
• Experience with large-scale machine learning systems, including profiling, debugging, system performance, and scalability.

Nice to have

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy.
• Experience with large-scale distributed systems such as Hadoop and Spark.

Culture & Benefits

• Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.
• Inclusive culture empowering Amazonians to deliver the best results for customers.
• Opportunity to work with smart, passionate colleagues in a fast-paced environment.
• Develop innovative solutions to deep technical problems with massive customer impact.