Senior Machine Learning Engineer, Enterprise AI Systems

🕒 August 13

🇺🇸 United States – Remote

💵 $100k - $180k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The Home Depot

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1978

🏗️ Construction

📦 Logistics

🛒 Retail

💰 Debt Financing on 2007-07

Construction • Logistics • Retail

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

• Join a product team and contribute to software design, algorithm design, and the overall product lifecycle • Design and implement AI/ML algorithms embedded directly into software products • Perform integration, design, development, performance tuning, testing, and product monitoring • Interface with business stakeholders, technology infrastructure teams, and development teams to meet business requirements • Create, support, and deploy production applications • Review submitted code and provide feedback based on best practices • Collaborate and pair with UX, engineering, and product management to create secure, reliable, scalable machine learning solutions • Document, review, and ensure quality and change-control standards • Write code or scripts to automate infrastructure, monitoring services, and test cases • Conduct destructive testing to ensure production resiliency • Configure commercial off-the-shelf solutions for evolving business needs • Create dashboards, logging, alerting, and proactive issue responses • Participate in learning activities around modern software design, machine learning, and development practices • Field questions from product and support teams • Monitor tools and encourage collaboration across product teams • Provide production application support • Monitor production Service Level Objectives • Review production performance and capacity across code, infrastructure, data, message processing, and prediction quality • Typically report to a Software Engineer Manager or Sr. Software Engineer Manager; no direct reports

🎯 Requirements

• Must be eighteen years of age or older • Must be legally permitted to work in the United States • Minimum education: high school diploma and/or GED • Minimum 2 years of work experience • 5+ years of experience in Machine Learning Engineering, AI Engineering, Software Engineering, or a related field preferred • Experience designing and developing Agentic AI applications, LLM-powered solutions, retrieval-augmented generation (RAG) systems, and intelligent automation workflows preferred • Strong experience with knowledge graphs, graph engineering, network analysis, semantic search, and enterprise knowledge layers preferred • Experience developing scalable data pipelines, data products, and feedback loop architectures preferred • Proficiency in Python and modern AI/ML frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, and Pandas preferred • Experience with cloud-native AI/ML platforms and infrastructure, preferably Google Cloud Platform, Vertex AI, BigQuery, and BigQuery ML preferred • Experience building and supporting AI infrastructure, vector databases, model serving platforms, APIs, microservices, distributed systems, and high-availability architectures preferred • Strong understanding of CI/CD, version control, automated testing, security, and performance optimization preferred • Experience with large-scale structured and unstructured datasets, SQL, NoSQL, and modern data architecture patterns preferred • Strong communication, collaboration, and stakeholder management skills preferred • Ability to thrive in ambiguous environments, learn emerging technologies, solve complex problems, and drive innovation preferred

🏖️ Benefits

• Remote/Virtual work arrangement • Overnight travel typically required only 5% to 20% of the time