Software Engineer II – ML, AI

The Home Depot

Software Engineer II developing AI and ML solutions for Home Depot. Collaborating with diverse teams to create reliable and scalable software applications in a remote environment.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $90,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python programming and object-oriented languages, with a strong focus on developing and integrating AI/ML solutions. Proficient in cloud-native application development and CI/CD practices, ensuring high-quality software delivery through agile methodologies.

Highest-signal resume keywords

Python ProgrammingAI/ML Solutions DevelopmentCloud Computing (Azure, AWS, GCP)CI/CD PipelinesSQL Query Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaAI Development FrameworksSQLHTMLCSSJavaScriptTypeScriptMicroservicesAutomated Testing

Soft Skills

CollaborationAdaptabilityProblem-SolvingCommunicationPartnership Building

Tools & Technologies

PyTorchTensorFlowScikit-learnGitAzure AI ServicesOpenAIDevOps ToolsMonitoring ToolsLogging SolutionsAgile Methodologies

Industry Keywords

Software DevelopmentMachine LearningGenerative AINoSQL DatabasesSecurity Frameworks

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaJavaScriptNoSQLPythonPyTorchScikit-LearnSQLTensorflowTypeScript

About the role

Key responsibilities & impact

Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software 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;
Program configuration/modification and setup activities on large projects using HD approved methodology;
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.
Actively seeks ways to grow and be challenged using both formal and informal development channels;
Learns through successful and failed experiment when tackling new problems;
Collaborates with other team members in agile processes;
Assists in creating new and better ways for the team to be successful;
Relates openly and comfortably with diverse groups of people;
Builds partnerships and works collaboratively with others to meet shared objectives.

Requirements

What you’ll need

1–3 years of relevant software development or engineering experience.
Experience programming in Python and at least one object-oriented programming language (Java preferred).
Experience developing, integrating, or supporting AI/ML solutions, including machine learning models, generative AI applications, LLMs, or AI-powered services.
Experience using AI development frameworks and tools such as PyTorch, TensorFlow, Scikit-learn, LangChain, OpenAI/Azure AI services, or similar technologies.
Experience writing and optimizing SQL queries against relational databases.
Experience with relational and NoSQL database technologies.
Experience with source code management and version control systems (Git preferred).
Experience with front-end technologies such as HTML, CSS, JavaScript, and TypeScript frameworks.
Experience with cloud computing platforms and cloud-native application development (Azure, AWS, or GCP).
Experience with CI/CD pipelines, DevOps practices, and automated deployment tools.
Experience building and supporting microservice-based architectures and APIs.
Experience with modern debugging, monitoring, and root cause analysis techniques.
Exposure to AI model evaluation, prompt engineering, model tuning, or MLOps practices.
Exposure to security frameworks for user and service authentication and authorization.
Experience creating and executing unit, functional, integration, performance, and automated tests.
Understanding of software engineering best practices, including code reviews, testing, documentation, and agile development methodologies.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options