[Remote] Staff Machine Learning Engineer, Supply Chain Sourcing (REMOTE)

Note: The job is a remote job and is open to candidates in USA. The Home Depot is a leading home improvement retailer, and they are seeking a Staff Machine Learning Engineer to lead the design and implementation of innovative machine learning products. In this role, you will collaborate with cross-functional teams to integrate ML/AI capabilities into software products and ensure that both software and ML requirements are met effectively.

Responsibilities

• Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions
• Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable
• 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
• Attends conferences and learns how to apply new innovations and technologies where appropriate
• Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives
• Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements
• Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products
• Proactively creates and maintains tools for monitoring and support
• Participates in project planning and management across multiple efforts
• Develops formal training courses
• 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

Skills

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• 3 years of relevant work experience
• None leadership experience
• None certifications
• 3-6 years of relevant work experience
• Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks.
• Experience to basic statistics and regression algorithms
• Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization
• Experience in training machine learning models with extremely large datasets
• Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.
• Experience with GPU acceleration (i.e. CUDA and cuDNN)
• Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
• Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc
• Experience in a modern scripting language (preferably Python)
• Experience with front-end technology such as HTML, CSS, and JavaScript/Typescript frameworks, an object-oriented programming language (preferably Java), Relational or NoSQL database technology, cloud computing techniques, CI/CD tools
• Experience with security frameworks for user and service authorization and authentication
• Experience in REST and effective web service design
• Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
• Experience in cloud computing platforms and associated automation patterns and machine learning services they provide
• Experience in defensive coding practices and patterns for high Availability
• Experience with creating and executing unit, functional, destructive, and performance tests
• Experience in A/B testing and effective REST design for scalable web services architecture
• Experience with modern debugging and root cause analysis techniques
• Experience with a version control system (preferably Git)
• Exposure to developing technical roadmaps, including work estimation, refactoring, and modernizing legacy systems
• Familiarity with advanced machine learning architectures, GANs, GRU, LSTMs, RNNs, CNNs, and style transfer

Education Requirements

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

Company Overview

• The Home Depot is a retailer of hardware, consumer goods, and DIY supplies both online and offline while providing home delivery services. It was founded in 1978, and is headquartered in Atlanta, Georgia, USA, with a workforce of 10001+ employees. Its website is https://www.homedepot.com.

Company H1B Sponsorship

• The Home Depot has a track record of offering H1B sponsorships, with 27 in 2025, 67 in 2024, 32 in 2023, 66 in 2022, 62 in 2021, 33 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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