The Home Depot

SR. Machine Learning Engineer, Enterprise AI Systems

The Home Depot$100K — $180K *
US-AnywhereRemote in Georgia, US
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in Machine Learning Engineering, AI Engineering, Software Engineering, or related field.
  • Strong experience with knowledge graphs and graph engineering.
  • Proficiency in Python with popular AI/ML frameworks like PyTorch and TensorFlow.
  • Experience with cloud-native platforms, particularly Google Cloud.
  • Strong communication and collaboration skills across technical teams.

Responsibilities

  • Collaborate with product team members to create scalable machine learning solutions.
  • Write custom code for automation and testing in production environments.
  • Document and ensure compliance with quality and change control standards.
  • Engage in performance tuning, monitoring, and ensuring service level objectives are met.
  • Field questions and provide application support for production software.

Benefits

  • Engaging, collaborative work environment with a focus on team learning.
  • Opportunities for professional development and skill enhancement.
  • Flexible working conditions with the possibility for remote work.
  • Participation in innovative projects involving cutting-edge technologies.
Full Job Description
Position Purpose:

The Sr Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Sr ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering.
Sr ML Engineers should be able to operate independently though will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices.

Key Responsibilities:
  • 70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  • 10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
  • 20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality


Direct Manager/Direct Reports:
  • This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager
  • This Position has 0 Direct Reports


Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.


Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.


Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.


Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.


Preferred Qualifications:

  • 5+ years of experience in Machine Learning Engineering, AI Engineering, Software Engineering, or a related field, with a proven track record of building and deploying production-grade AI and machine learning solutions.
  • Experience designing and developing Agentic AI applications, LLM-powered solutions, retrieval-augmented generation (RAG) systems, and intelligent automation workflows.
  • Strong experience with knowledge graphs, graph engineering, network analysis, semantic search, and building enterprise knowledge layers that connect structured and unstructured data to enable AI and analytics use cases.
  • Experience developing scalable data pipelines, data products, and feedback loop architectures that support continuous model and agent improvement.
  • Proficiency in Python and modern AI/ML frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, Pandas, and related technologies.
  • Experience with cloud-native AI/ML platforms and infrastructure, preferably Google Cloud Platform (Vertex AI, BigQuery, BigQuery ML), including model deployment, monitoring, and MLOps practices.
  • Experience building and supporting AI infrastructure, including vector databases, model serving platforms, APIs, microservices, distributed systems, and high-availability architectures.
  • Strong understanding of software engineering best practices, including CI/CD, version control, automated testing, security, and performance optimization.
  • Experience working with large-scale structured and unstructured datasets, SQL, NoSQL, and modern data architecture patterns.
  • Strong communication, collaboration, and stakeholder management skills with the ability to influence technical decisions across engineering, data, analytics, and product teams.
  • Demonstrated ability to thrive in ambiguous environments, rapidly learn emerging technologies, solve complex problems, and drive innovation in a fast-paced organization.


Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.


Preferred Education:
  • No additional education


Minimum Years of Work Experience:
  • 2


Preferred Years of Work Experience:
  • No additional years of experience


Minimum Leadership Experience:
  • None


Preferred Leadership Experience:
  • None


Certifications:
  • None


Competencies:
  • Global Perspective
  • Manages Ambiguity
  • Nimble Learning
  • Self-Development
  • Collaborates
  • Cultivates Innovation
  • Situational Adaptability
  • Communicates Effectively
  • Drives Results
  • Interpersonal Savvy


For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:

The pay range for this position is between $100,000.00 - $180,000.00

About The Home Depot

The Home Depot is a home improvement retailing company that combines its physical stores with an online presence to provide customers with innovative products at great value. The company specializes in the fields of retail, home improvement, and customer service. The Home Depot was founded in 1978 and is headquartered in Atlanta, Georgia.

The Home Depot Careers

Join the vibrant team at The Home Depot, the largest home improvement retailer in the U.S., where your career can flourish in an environment ripe with opportunities for growth and innovation. As a market leader, The Home Depot offers a variety of job opportunities that allow professionals to thrive in a culture that values leadership, diversity, and professional development. Work You’ll Do At The Home Depot, you’ll be part of a team that’s committed to helping homeowners, builders, and do-it-yourselfers bring their visions to life. Our extensive range of job opportunities spans from store operations to supply chain management, from IT to marketing. No matter where you start, you’ll be doing work that matters, impacting our customers' lives and experiences. Transform Your Career Step into a role within The Home Depot and join a network of over 400,000 associates who are as passionate about building their careers as they are about helping our customers. Leadership at The Home Depot means continuous improvement, embracing diversity, and fostering a culture of inclusion and respect that makes us stronger. Innovate with Us Innovation isn’t just a buzzword at The Home Depot; it’s the backbone of how we do business. We are constantly seeking out new technologies and tools to improve every aspect of our operations, from logistics to customer service. Join us, and bring your unique perspective and skills to a team that’s setting the standard for excellence in the retail industry. Grow and Develop The Home Depot is committed to the growth and development of its associates through robust training programs, leadership workshops, and opportunities for advancement. Whether you’re looking for a part-time position or a full-time career, The Home Depot nurtures your professional growth every step of the way. Internship Programs Dive into the professional world through The Home Depot’s internship programs, which offer a dynamic environment to gain hands-on experience and develop critical skills in various business areas. Our internships provide a platform to connect with leaders and peers, enhancing your resume and preparing you for future employment. Benefits and Culture Choosing to start your career at The Home Depot means more than just securing a job. It means you gain access to unparalleled benefits that support your life and well-being, from health insurance to educational assistance. Our commitment to employees is reflected in our open, supportive culture where everyone’s voice is heard, and every team member’s contribution is valued. Join Our Team Ready to take the next step in your career? Explore the wide range of positions available at The Home Depot, where we’re hiring passionate, curious, and innovative team players. Search open positions that match your skills and interests on our Jobs page. Stay Connected Keep up to date with the latest career tips, company news, and industry insights—all from the people who work here. Subscribe to our Careers Blog and personalize your subscription to receive updates that align with your career interests and goals. At The Home Depot, we don’t just offer jobs—we offer careers that make a difference. Join us, and be a part of something bigger as we continue to invest in your future and our shared success.
Learn more about The Home Depot
Size
490,600 employees
Market Cap
$323 billion
Industry
Net Income
$12.8 billion
Founded
1978
5 Year Trend
+9.8%
Revenue
$132.1 billion
NASDAQ

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