Applied Scientist, LLM, Natural Language Search

Company:  Amazon
Location: Seattle
Closing Date: 20/10/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Applied Scientist, LLM, Natural Language Search

Job ID: 2783224 | Amazon.com Services LLC

Come transform Amazon Search using Large Language Models (LLMs). We are building new approaches to bring in a step change to both Amazon Rufus and Amazon Search.

You will innovate with your team to provide delightful answers to customers by incorporating world knowledge in matching and ranking models, and helping the models deeply understand semantic meaning in descriptive and conversational queries such as "light tent for snow camping with my son", "best toys for on the go" or "cheap plus size summer pajamas".

Key Job Responsibilities

  1. You will analyze large scale datasets
  2. Define metrics that reflect customer experience
  3. Invent techniques that improve capabilities such as understanding of natural language queries, questions and conversations
  4. Test your ideas in controlled experiments
  5. Train, fine-tune and align Large Language Models (LLMs)
  6. Distill Large Language Models into Fast Language Models and deploy them to operate at Amazon scale with imperceptible latencies

BASIC QUALIFICATIONS

  1. 3+ years of building models for business application experience
  2. PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  3. Experience in patents or publications at top-tier peer-reviewed conferences or journals
  4. Experience programming in Java, C++, Python or related language
  5. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

  1. Experience using Unix/Linux
  2. Experience in professional software development

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.

Posted: January 25, 2024

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