Senior Machine Learning Engineer – Generative AI

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Position Summary

The Senior Machine Learning Engineer for Generative AI at Home Depot U.S.A., Inc. plays an instrumental role in designing, building, integrating, optimizing, and maintaining AI-powered applications. This position focuses on innovative products that enhance user experiences through the use of generative models. The engineer collaborates with teammates to deliver detailed user stories while evolving and supporting AI-powered products over their lifecycle.

Key Responsibilities

The responsibilities of the Senior Machine Learning Engineer are categorized into different components, primarily focusing on delivery, execution, learning, and support.

Delivery and Execution (70%):

  • Collaborates closely with product team members including UX designers, engineers, and product managers to ensure the creation of secure, reliable, and scalable machine learning solutions.
  • Documents and reviews project work to adhere to quality and change control standards.
  • Works collaboratively with product teams to refine user stories, ensuring they are understandable and testable.
  • Develops custom code or scripts for automating infrastructure and monitoring services, as well as conducting “destructive testing” for system resiliency.
  • Configures off-the-shelf solutions to meet evolving business needs and creates effective dashboards for monitoring issues.

Learning (10%):

  • Engages in continuous learning activities focused on modern software design, machine learning best practices, and related technologies. This includes participating in communities of practice, viewing educational content, and staying updated on technological advancements.

Support and Enablement (20%):

  • Acts as a resource for other product teams or support staff, addressing queries and providing application support for AI systems in production.
  • Monitors performance and service levels for the deployed products and ensures that the infrastructure remains efficient and effective.

Required Skills

Candidates are expected to meet several minimum qualifications and possess key skills for the role:

  • 3-5 years of relevant work experience in machine learning or AI systems.
  • Proficiency in Python and modern AI development frameworks.
  • Proven experience in building Generative AI applications, particularly using large language models (LLMs).
  • Familiarity with prompt engineering techniques, model integration using APIs, and generative AI frameworks like Google’s Agent Development Kit.
  • Background in designing and implementing Retrieval-Augmented Generation (RAG) pipelines, ideally using vector databases.
  • Additionally, candidates should be well-versed in AI ethics including bias mitigation strategies and safety measures.

Salary Structure

The position comes with a substantial salary range, reflecting the expertise required. Specifically, the annual pay range is between $100,000 and $180,000, making it a competitive opportunity. The specific salary may vary based on experience, expertise, and potential negotiation.

Working Conditions and Physical Requirements

The work environment is particularly conducive to focused tasks, as it is said to be located in a comfortable indoor area. Most of the work is performed while sitting, with minor opportunities for mobility throughout the day. Occasional travel (5-20%) may be needed, indicating some flexibility in where the work can be executed.

Minimum and Preferred Qualifications

Minimum Requirements:

  • Candidates must be 18 years of age or older.
  • Must be legally eligible to work in the United States.

Preferred Qualifications:

  • Experience with building conversational AI systems or AI assistants.
  • Knowledge of CI/CD pipelines, monitoring practices, and automated workflows for deployment of AI models.
  • Familiarity with cloud platforms such as Google Cloud Platform and AI/ML components like Vertex AI.

Benefits

The Home Depot provides a robust benefits package that includes:

  • Comprehensive healthcare benefits
  • 401K plan options
  • Employee Stock Purchase Plan (ESPP)
  • Paid time off
  • Success sharing bonuses

These benefits are designed to support employees both personally and professionally. For a full list of benefits, comprehensive details can be found on their careers page.

Conclusion

In summary, the Senior Machine Learning Engineer position specializing in Generative AI at Home Depot U.S.A., Inc. offers a significant professional opportunity for individuals looking to leverage their expertise in AI and machine learning within a supportive environment. This role entails high collaboration with various teams and emphasizes continuous learning and adaptation, thus making it ideal for candidates who thrive in innovative settings.



This job offer was originally published on himalayas.app

HOME DEPOT U.S.A., INC.

Georgia

Software development

Full-time

March 22, 2026

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