Senior Machine Learning Engineer

The Home Depot

Senior Machine Learning Engineer developing secure and scalable machine learning solutions at Home Depot. Collaborating with product teams and contributing to algorithm design and product lifecycle.

Posted 5/1/2026full-timeRemote • Florida • 🇺🇸 United StatesSenior💰 $100,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudD3.jsGoogle Cloud PlatformJavaScriptLinuxNode.jsNoSQLPandasPythonPyTorchReactScikit-LearnSQLTensorflowUnix

About the role

Key responsibilities & impact

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
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
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

Requirements

What you’ll need

2 - 4 years of relevant work experience
Experience to algorithms such as clustering, forecasting, anomaly detection, and neural networks.
Experience to basic statistics and regression algorithms
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML
Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store
Experience in a modern scripting language (preferably Python)
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience in modern web application framework such as Node.js
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3
Experience in writing SQL queries against a relational database
Experience in version control systems (preferable Git)
Experience in a Linux or Unix based environment
Experience in a CI/CD toolchain
Experience in REST and effective web service design
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
Familiarity with NoSQL databases
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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdata analysisalgorithmsstatisticsPythonSQLRESTCI/CDNoSQLGPU acceleration

Soft Skills

collaborationcommunicationproblem-solvingproactive monitoringdocumentationquality assuranceuser story developmentapplication supportlearningteamwork