Senior Machine Learning Engineer @The Home Depot
Artificial Intelligence
Salary unspecified
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 3wks ago

[Hiring] Senior Machine Learning Engineer @The Home Depot

3wks ago - The Home Depot is hiring a remote Senior Machine Learning Engineer. πŸ’Έ Salary: unspecified πŸ“Location: USA

Role Description

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.

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.

Qualifications

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Requirements

  • 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.
  • 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, CSS, 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.

Benefits

  • Typically requires overnight travel 5% to 20% of the time.
  • Most of the time is spent sitting in a comfortable position with frequent opportunities to move about.
  • Located in a comfortable indoor area with infrequent and non-objectionable unpleasant conditions.

Company Description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Machine Learning Engineer @The Home Depot
Artificial Intelligence
Salary unspecified
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 3wks ago
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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