Leading AI/ML Innovator, Scalable Solutions

6 days ago


Nashville, Tennessee, United States Amazon Full time

About the Role

We are seeking an experienced Machine Learning Engineer to join our Workforce Solutions Analytics and Tech team. This is a unique opportunity to leverage your technical expertise in designing and developing scalable AI and ML systems and services, building ML-powered products, executing complex projects, and delivering high business and customer impact.

Key Responsibilities

  • Design, implement, and productionize AI/ML models by collaborating with scientists on the team.
  • Develop ML/LLM workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., ensuring high-quality architecture and design of our AI ML systems and data infrastructure.
  • Leverage AWS AI services and other internal/publicly available tools & services to accelerate our AI investments.
  • Detail-oriented, always backing up ideas with facts, understanding complex application data flows and bridging the gap between technical and business app requirements.
  • Identify state-of-the-art models/solutions to enable new capabilities for code migration and code testing, drive down tech debt, and increase operational efficiency.
  • Share expert knowledge in performance, large-scale distributed system scalability, system architecture, and engineering best practices.
  • Provide thought leadership and hands-on support in selecting, defining, training, and fine-tuning Large Language Models (LLMs), prompt engineering, and other GenAI efforts.
  • Mentor other engineers, especially on AI/ML initiatives, and foster a culture of learning & collaboration.
  • Define data and feature validation strategies.
  • Deploy models to production systems and operate them, including monitoring and troubleshooting.

A Day in the Life

As a Machine Learning Engineer, you will work closely with science teams to bring research to production. This role combines engineering knowledge, technical strength, and product focus, requiring you to implement novel ML systems, product integrations, and performance optimizations.

You will collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems and provide support for business continuity on a rotating on-call basis.

Requirements

  • 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.

Compensation

The estimated base salary for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Amazon offers a total compensation package, including equity, sign-on payments, and other forms of compensation, in addition to medical, financial, and other benefits.



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