Applied Scientist, AGI , AGI Information

About the role

The Amazon's AGI Information is seeking an exceptional Applied Scientist to drive science advancements in the Amazon Knowledge Graph team (AKG). AKG is re-inventing knowledge graphs for the LLM era, optimizing for LLM grounding. At the same time, AKG is innovating to utilize LLMs in the knowledge graph construction pipelines to overcome obstacles that traditional technologies could not overcome. As a member of the AKG IR team, you will have the opportunity to work on interesting problems with immediate customer impact. The team is addressing challenges in web-scale knowledge mining, fact verification, multilingual information retrieval, and agent memory operating over Graphs. You will also have the opportunity to work with scientists working on the other challenges, and with the engineering teams that deliver the science advancements to our customers.

Responsibilities

• Solve entity resolution to enable conflating facts from multiple sources into a single graph entity for each real world entity.
• Develop generic solutions that work for all classes of data in AKG (e.g., people, places, movies, etc.), that cope with sparse, noisy data, that scale to hundreds of millions of entities, and that can handle streaming data.
• Define a roadmap to make progress incrementally and insist on scientific rigor, leading by example.

Requirements

• 3+ years of building models for business applications 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 any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Qualifications

• Master's degree or above in computer science, electrical engineering, or related field

Skills

• Strong machine learning and agent background
• Master of state-of-the-art techniques
• Strong publication record
• Desire to push the envelope in one or more of the above areas
• Track record of delivering to customers

Benefits

• Comprehensive benefits including health insurance, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Pay

$171,600.00 - $222,200.00 USD annually

Schedule

N/A