Software Dev Engineer II, GenAI Apps, People Experience and Technology Central Science (PXTCS)

Amazon is a global technology company that uses economics, behavioral science, statistics, Machine Learning, and LLMs to improve employee experience and company processes.
$129,300 - $223,600
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:
System Development Engineer, AGI - Modeling Services

System Development Engineer role focusing on AGI and LLM infrastructure development and maintenance at Amazon, requiring 3+ years of experience in systems engineering.

Machine Learning Engineer, Workforce Solutions - Analytics and Tech

Machine Learning Engineer role at Amazon focusing on AI/ML systems and LLMs to solve workforce challenges, offering competitive compensation and cutting-edge tech exposure.

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

ASIC Design Engineer role at AWS, focusing on machine learning hardware optimization and development of high-performance RTL designs for cloud infrastructure.

Machine Learning Engineer, Robotic Storage Technologies - Simulation & Machine Learning

Machine Learning Engineer role at Amazon Robotics, focusing on AI-driven warehouse optimization and robotic storage solutions.

Software Dev Engineer II, Amazon Q

Software Development Engineer II position at Amazon Q, focusing on AI-powered developer tools with competitive compensation and comprehensive benefits.

Description For Software Dev Engineer II, GenAI Apps, People Experience and Technology Central Science (PXTCS)

The People eXperience and Technology (PXT) Central Science Team at Amazon uses economics, behavioral science, statistics, Machine Learning, and LLMs to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are seeking a Software Development Engineer (SDE) specializing in managing large volumes of data within an MLOps/GenAIOps framework.

Key Responsibilities:

  • Develop and deliver solutions that measurably improve Amazon and Amazonians' lives
  • Build distributed, scalable, and highly available systems for ML, LLM, Econometrics/Statistical/Causal models
  • Own products ranging from Data Lakes to tools for science experimentation, MLOps, GenAIOps, and analytics
  • Develop web applications and software solutions integrated with other Amazon systems
  • Collaborate with economists, academic scholars, machine learning experts, and fellow developers
  • Craft, experiment, and launch services embodying diverse scientific models

Required Skills:

  • Expertise in Machine Learning lifecycle management
  • Familiarity with model training, validation, debugging tools, and analysis techniques
  • Experience in enhancing LLM responses through methodologies like RAG and Prompt Engineering
  • Strong software engineering fundamentals and system architecture skills
  • Capability to construct scalable systems for model deployment and GenAI application building
  • Experience with ML system design, frameworks, and GenAI application design/development

The ideal candidate will thrive on innovation, embrace leading-edge tech, and relish contributing to a high-impact field. This role offers the opportunity to work with complex distributed systems, handle Big Data, and apply advanced statistical methods in a dynamic, interdisciplinary environment.

Last updated 2 months ago

Responsibilities For Software Dev Engineer II, GenAI Apps, People Experience and Technology Central Science (PXTCS)

  • Develop and deliver solutions that improve Amazon and Amazonians' lives
  • Build distributed, scalable, and highly available systems for ML, LLM, and statistical models
  • Own products ranging from Data Lakes to tools for science experimentation, MLOps, GenAIOps, and analytics
  • Develop web applications and software solutions integrated with other Amazon systems
  • Collaborate with economists, academic scholars, and machine learning experts
  • Craft, experiment, and launch services embodying diverse scientific models

Requirements For Software Dev Engineer II, GenAI Apps, People Experience and Technology Central Science (PXTCS)

Python
Java
Kubernetes
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture experience
  • Experience programming with at least one software programming language
  • Expertise in Machine Learning lifecycle management
  • Familiarity with model training, validation, debugging tools, and analysis techniques
  • Experience in enhancing LLM responses through methodologies like RAG and Prompt Engineering
  • Strong software engineering fundamentals and system architecture skills

Benefits For Software Dev Engineer II, GenAI Apps, People Experience and Technology Central Science (PXTCS)

Medical Insurance
401k
Equity
  • Medical Insurance
  • 401k
  • Equity

Interested in this job?