The Home Depot

Senior Machine Learning Engineer- Generative AI (REMOTE)

The Home Depot • $120K — $145K *
Atlanta, GA 30349In-Person
Consumer Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 3-5 years experience in Python and AI development frameworks
  • Experience using large language models (LLMs) for Generative AI applications
  • Familiarity with prompt engineering and evaluation techniques
  • Experience with AI model integration via APIs like Google and OpenAI
  • Knowledge of retrieval-augmented generation (RAG) using vector databases

Responsibilities

  • Collaborate with product team members to create scalable ML solutions
  • Document and ensure quality standards in AI solutions
  • Write automation scripts for infrastructure and monitoring services
  • Support other product teams by answering questions and providing application support
  • Monitor and optimize production performance and capacity

Benefits

  • Opportunities for continuous learning in modern software design and machine learning
  • Collaborative environment with diverse skill levels
  • Flexible working conditions in a comfortable indoor setting
  • Potential for overnight travel (5% to 20%)
  • Participate in community practice activities to enhance skills
Full Job Description
Position Purpose:

The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and the overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions.

Sr Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI 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:
  • 3 - 5 years of relevant work experience
  • Experience in Python and modern AI development frameworks
  • Experience building Generative AI applications using large language models (LLMs)
  • Experience with prompt engineering, prompt optimization, and prompt evaluation techniques
  • Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic
  • Experience with GenAI frameworks such as Google Agent Development Kit (ADK)
  • Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases
  • Experience working with vector databases such as google Vertex AI Search
  • Experience with building conversational AI systems, or AI assistants
  • Experience with responsible AI practices including bias mitigation and safety guardrails
  • Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems.
  • Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.
  • Experience with monitoring, evaluation, and optimization of production AI systems
  • Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and 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 GPU acceleration (i.e. CUDA and cuDNN)
  • Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3
  • Experience in writing SQL queries against a relational database
  • Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
  • 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


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

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
Retail & Consumer Goods
Net Income
$12.8 billion
Founded
1978
5 Year Trend
+9.8%
Revenue
$132.1 billion
NASDAQ
HD
* Ladders Estimates

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