Staff Machine Learning Engineer – Generative Ai (remote)

The Home Depot

Remote
Base: $120,000 - $190,000; bonus/equity: not speci...
Generative ai applications
Large language models (llms)
Retrieval-augmented generation (rag)
Join cross-functional teams to build innovative GenAI application experiences and manage the product lifecycle

Job Summary

  • Join cross-functional teams to build innovative GenAI application experiences and manage the product lifecycle.
  • Design and implement applications using LLMs, including prompt engineering, model integration, RAG pipelines, and scalable AI services.
  • Responsibilities include evaluation, performance optimization, testing, monitoring of AI systems, and working with domain data.

Matching Summary

Join cross-functional teams to build innovative GenAI application experiences and manage the product lifecycle.

Salary

Base: $120,000 - $190,000; Bonus/Equity: Not specified; Benefits: Health care benefits, 401K, ESPP, paid time off, success sharing bonus

Skills & Requirements

Must-have

  • Generative AI applications
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering and optimization
  • Scalable AI services development
  • Python and AI development frameworks

Nice-to-have

  • Collaborative daily pairing
  • Continuous learning and best practices
  • Business trend analysis
  • Cross-functional team collaboration
  • Responsible AI practices

Key Requirements

  • 5 - 7 years relevant work experience
  • Experience in Python
  • Experience building Generative AI applications
  • Experience with LLMs
  • Experience with prompt engineering
  • Experience integrating AI models via APIs
  • Experience with GenAI frameworks
  • Experience implementing RAG pipelines
  • Experience with vector databases
  • Experience with conversational AI systems
  • Experience with responsible AI practices
  • Experience with graph databases
  • Experience implementing CI/CD pipelines for AI
  • Experience monitoring AI systems
  • Experience in Google Cloud Platform
  • Experience with AI/ML components
  • Experience with data engineering practices
  • Experience with big data platforms
  • Experience in a modern scripting language
  • Experience with GPU acceleration
  • Experience in front-end technology
  • Experience writing SQL queries
  • Experience in advanced machine learning techniques
  • Experience training ML models with large datasets
  • Experience with Data Analysis and ML Tools
  • Familiarity with production systems design
  • Familiarity with cloud computing platforms
  • Familiarity with defensive coding practices
  • Familiarity with A/B testing
  • Familiarity with advanced ML architectures

Work Rights

Legally permitted to work in the United States

Tailored Resume

Cover Letter