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The Home Depot

Senior Software Engineer – Machine Learning

The Home Depot

Senior Software Engineer developing machine learning systems for product recommendation at Home Depot. Designing architectures that integrate AI into the digital product discovery process.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $90,000 - $170,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining software for recommendation engines, integrating AI and machine learning capabilities, and leading system design initiatives. Proficient in agile methodologies and mentoring junior engineers in software development best practices.

Highest-signal resume keywords
JavaPythonMicroservicesMLOpsGCP Core Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ScalaREST APIsGRPCEvent-Driven ArchitectureDistributed SystemsScalabilityFault ToleranceAdvanced SQLBigQueryDataflow
Soft Skills
CollaborationMentoring
Tools & Technologies
GKECloud RunDataprocBatch PipelinesStreaming PipelinesTensorFlowPyTorchVertex AI
Industry Keywords
Recommendation EnginesAIMachine LearningGenerative AI

Tech Stack

Tools & technologies
BigQueryCloudDistributed SystemsGoogle Cloud PlatformGRPCJavaMicroservicesPythonPyTorchScalaSQLTensorflow

About the role

Key responsibilities & impact
  • Develops, tests, deploys, and maintains software for recommendation engines
  • Collaborates in agile processes to create valuable user stories
  • Mentors junior engineers on software development practices
  • Leads system design initiatives and drives best practices in scalable architecture
  • Integrates AI and machine learning capabilities into the product recommendation journey

Requirements

What you’ll need
  • 3-5 years of experience
  • Strong in at least one of: Java, Scala, Python
  • Experience with microservices, REST APIs, gRPC, event-driven architecture
  • Knowledge in distributed systems, scalability, fault tolerance
  • Understanding of GCP Core services like Compute Engine, GKE, Cloud Run
  • Advanced SQL skills in BigQuery
  • Familiarity with Dataflow, Dataproc, batch and streaming pipelines
  • Knowledge of MLOps practices and frameworks like TensorFlow, PyTorch
  • Understanding of generative AI concepts and tools like Vertex AI

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Professional development