Applied Scientist, AGI , AGI Information

Amazon • Sunnyvale, CA

1d

About The Position

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.

A successful candidate has a strong machine learning and agent background, is a
master of state-of-the-art techniques, has a strong publication record, has a
desire to push the envelope in one or more of the above areas, and has a track
record of delivering to customers. The ideal candidate enjoys operating in
dynamic environments, is self-motivated to take on new challenges, and enjoys
working with customers, stakeholders, and engineering teams to deliver big
customer impact, shipping solutions via rapid experimentation and then iterating
on user feedback and interactions.

Requirements

• 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 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

Nice To Haves

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

Responsibilities

• As an Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems.
• You will collaborate with applied scientists and engineers to develop novel algorithms and modeling techniques to build the knowledge graph that delivers fresh factual knowledge to our customers, and that automates the knowledge graph construction pipelines to scale to many billions of facts.
• Your first responsibility will be to solve entity resolution to enable conflating facts from multiple sources into a single graph entity for each real world entity.
• You will develop generic solutions that work fo 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.
• You will define a roadmap to make progress incrementally and you will insist on scientific rigor, leading by example.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level