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SDE II, Amazon Health, Amazon Health

Amazon Health's mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy.
$129,300 - $223,600
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · Healthcare
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Description For SDE II, Amazon Health, Amazon Health

About Amazon Health

Amazon Health's mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.

Job summary

We're on the lookout for an exceptional Software Engineer II to join our team of experts in the field of machine learning and AI. Together, we aim to revolutionize healthcare by making personalized and empathetic care accessible, convenient, and cost-effective. In this role, you will build software initiatives along with a team of software engineers, overseeing the development of infrastructure and components to support machine learning models and AI. You'll thrive in our highly collaborative environment, where you'll play a pivotal role in productizing next-generation scientific components. Additionally, you'll take charge of scaling and managing operations while collaborating with partner teams to shape the roadmap for our products in future phases. This position offers you the opportunity to mentor and guide your team of software engineers, fostering growth and innovation in this dynamic space.

Key job responsibilities:

  • Develop a golden query set for evaluating and validating ML systems.
  • Improve an LLM-based dialog system through knowledge engineering, retrieval optimization, and advanced prompt engineering.
  • Optimize link coverage and contextual relevance to enhance downstream impact.
  • Establish guardrails for LLM-based systems to ensure safety and model integrity.
  • Analyze customer engagement, identify root causes, implement solutions, conduct validations, and deploy improvements to production.
  • Collaborate with senior scientists to execute the above responsibilities.

About the team: We are the Health AI team at HST (Health Store and Technology). The team consists of highly skilled software engineers and exceptional ML Scientists with diverse background in healthcare, robotics, customer analytics, and communication. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.

Last updated 9 months ago

Responsibilities For SDE II, Amazon Health, Amazon Health

  • Develop a golden query set for evaluating and validating ML systems
  • Improve an LLM-based dialog system through knowledge engineering, retrieval optimization, and advanced prompt engineering
  • Optimize link coverage and contextual relevance to enhance downstream impact
  • Establish guardrails for LLM-based systems to ensure safety and model integrity
  • Analyze customer engagement, identify root causes, implement solutions, conduct validations, and deploy improvements to production
  • Collaborate with senior scientists to execute the above responsibilities

Requirements For SDE II, Amazon Health, Amazon Health

Python
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language

Benefits For SDE II, Amazon Health, Amazon Health

Medical Insurance
Dental Insurance
Vision Insurance
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance