Posted Aug 12, 2026

MACHINE LEARNING ENGINEER II

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With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

The Machine Learning Engineer II 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. 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.
ML Engineers should be able to operate independently with minimum guidance from others, although 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:

Direct Manager/Direct Reports:

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Minimum Qualifications:

Preferred Qualifications:

  • 2+ years of experience in Machine Learning, Data Science, Software Engineering, or a related field
  • Experience developing, training, and deploying machine learning models in production environments
  • Hands-on experience with ML frameworks and tools such as Python, Scikit-learn, TensorFlow, PyTorch, Pandas, and Jupyter Notebooks
  • Experience with feature engineering, model evaluation, experimentation, and monitoring
  • Knowledge of machine learning techniques including classification, regression, clustering, forecasting, and anomaly detection
  • Experience working with cloud-based ML platforms, preferably Google Cloud Platform (GCP), Vertex AI, and BigQuery
  • Strong SQL and Python skills with experience working on large datasets
  • Familiarity with MLOps, CI/CD pipelines, Git, and Linux/Unix environments
  • Experience building and consuming REST APIs and integrating ML solutions into applications
  • Understanding of software engineering best practices, scalability, reliability, and system performance
  • Exposure to deep learning, NLP, Generative AI, or LLM-based solutions is a plus
  • Experience with A/B testing and data-driven decision making

Minimum Education:

Preferred Education:

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Minimum Leadership Experience:

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Certifications:

Competencies:

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 - $150,000.00

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