Senior Machine Learning, AI Platforms Engineer

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The Home Depot

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1978

🛒 Retail

👥 B2C

💰 Debt Financing on 2007-07

Retail • B2C

The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.

📋 Description

• The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and overall product lifecycle for a product that our users love. • Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. • Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. • Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. • The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. • The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. • Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions. • Sr Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. • This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices.

🎯 Requirements

• 3 - 5 years of relevant work experience • Experience in Python and modern AI development frameworks • Experience building Generative AI applications using large language models (LLMs) • Experience with prompt engineering, prompt optimization, and prompt evaluation techniques • Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic • Experience with GenAI frameworks such as Google Agent Development Kit (ADK) • Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases • Experience working with vector databases such as google Vertex AI Search • Experience with building conversational AI systems, or AI assistants • Experience with responsible AI practices including bias mitigation and safety guardrails • Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems • Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management. • Experience with monitoring, evaluation, and optimization of production AI systems • Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and • Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- • Experience in a modern scripting language (preferably Python) • Experience with GPU acceleration (i.e. CUDA and cuDNN) • Experience in a front-end technology and framework such as Node.js, HTML, CSS, JavaScript, ReactJS, D3 • Experience in writing SQL queries against a relational database • Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security • Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide • Familiarity with defensive coding practices and patterns for high Availability • Familiarity with A/B testing and effective REST design for scalable web services architecture • Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.

🏖️ Benefits

• health care benefits • 401K • ESPP • paid time off • success sharing bonus