Machine Learning Engineer II, Conversational Search

Company:  Amazon
Location: Seattle
Closing Date: 18/10/2024
Salary: £200 - £250 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Machine Learning Engineer II, Conversational Search

Job ID: 2752318 | Amazon.com Services LLC

Come transform Amazon Search using Large Language Models (LLMs). We are building new 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. Design online ML systems and automated offline training pipelines
  2. Optimize latency and throughput of production models
  3. Implement large scale data processing for model pre-training and fine-tuning
  4. Scale inference to serve Amazon customers with tight SLAs
  5. Work closely with principal engineers and scientists to build systems that will stand the test of time
  6. Conduct A/B tests to measure customer impact of new models

About the team
We are a collaborative team of machine learning engineers and scientists, responsible for Amazon Search quality world-wide.

BASIC QUALIFICATIONS

  1. 3+ years of non-internship professional software development experience
  2. 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  3. Experience programming with at least one software programming language
  4. Experience in machine learning, data mining, information retrieval, statistics or natural language processing

PREFERRED QUALIFICATIONS

  1. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  2. Bachelor's degree in computer science or equivalent

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.

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