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Sr Language Engineer, AWS Q for Business

Global technology company leading in e-commerce, cloud computing, and artificial intelligence
$84,000 - $185,000
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS
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Description For Sr Language Engineer, AWS Q for Business

As a Senior Language Engineer in AWS Q for Business Data Team, you will be at the forefront of launching a high-profile product offering. This role combines technical expertise in machine learning, data analytics, and natural language processing with strategic leadership in data collection and annotation. You'll work closely with cross-functional teams, including scientists, engineers, and product managers, to optimize datasets for model performance and drive innovation in data-centric AI.

The position offers an opportunity to shape the future of AWS's language engineering capabilities, requiring both hands-on technical skills and strategic thinking. You'll lead initiatives to improve data collection processes, implement cutting-edge annotation techniques, and contribute to the development of more effective workflows. The role demands expertise in computational linguistics and machine learning, with a focus on practical application in industry settings.

Working at Amazon means joining one of the world's most innovative companies, with competitive compensation based on geographic location and experience. You'll be part of the AWS Q for Business team, contributing to advanced AI solutions while collaborating with some of the brightest minds in the field. This role is perfect for someone who combines deep technical knowledge with leadership abilities and wants to make a significant impact in the field of language engineering and AI.

Last updated 8 months ago

Responsibilities For Sr Language Engineer, AWS Q for Business

  • Lead data collection and annotation strategy
  • Consult with stakeholders in science, engineering, and product teams
  • Collaborate with scientists to ensure datasets are optimized for model performance
  • Plan and implement high impact initiatives
  • Function as a technical expert in data-centric AI
  • Experiment with new techniques in data collection and annotation
  • Develop effective workflows and influence tooling roadmap

Requirements For Sr Language Engineer, AWS Q for Business

Python
  • PhD in Computational Linguistics or similar quantitative field, or equivalent experience
  • 3+ years industry experience developing natural language processing products
  • Proficiency in scripting and analytics tools such as Python or R
  • Experience leading data collection projects, including annotation workflow and data quality assessments
  • Experience in developing and evaluating data annotation and data quality metrics
  • Understanding of the ML model development process
  • Strong written and verbal communication skills

Benefits For Sr Language Engineer, AWS Q for Business

Medical Insurance
401k
Equity
  • Competitive base salary
  • Medical, financial, and other benefits
  • Equity compensation possible
  • Sign-on payments possible

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