The opportunity timeline

• Overview

  Home Depot is hiring a Machine Learning Engineer in High Point, NC.

• Role description

  Home Depot needs a hands-on Machine Learning Engineer who can architect, code, and deploy without losing sight of quality. Frame it as Home Depot trusting your 5 years with $100,000 - $142,000, a technology mandate, and the room to grow into leadership.

  Key Responsibilities

  • Turn vague technology tickets into crisp, testable Looker acceptance criteria
  • Trace a technology number back through MLflow services until it finally adds up
  • Replace the brittle PyTorch hack with an Excel solution that survives High Point scale
  • Write the Feature Engineering integration tests that catch regressions before High Point, NC ships them
  • Own the flat-and-fast Decision Making subsystem that the rest of Home Depot quietly depends on
  • Configure and manage infrastructure as code across staging and production
  • Document the Airflow system so the next senior engineer onboards in days, not weeks

  What You'll Bring

  • The humility to revise strong opinions when the data argues back
  • A communicator who writes the meeting recap nobody asked for but everyone reads
  • Comfort being measured against a clear senior bar
  • Customer-focused outlook with strong interpersonal skills
  • Reliable, accountable, and committed to following through

  Home Depot was founded in High Point, NC on the idea that technology should be powerful yet refreshingly quality-obsessed. Kindness and high standards live together comfortably on this wildly-collaborative High Point team.

  Joining Home Depot means $100,000 - $142,000, strong benefits, and a culture where senior engineers actively mentor newer talent.

  The posting clock reset today, so the Machine Learning Engineer window is wide open.

  Think you have what it takes? apply now and start the conversation.

• Required skills

  • Looker
  • Matplotlib
  • Excel
  • Feature Engineering
  • PyTorch
  • MLflow
  • Airflow
  • Tableau
  • BigQuery
  • Data Mining
  • Work Ethic
  • Mentoring
  • Decision Making
  • Goal Setting

• Benefits & perks

  • Gym membership reimbursement
  • Sleep and recovery programs
  • Employee Discounts
  • Open and transparent culture
  • Stock options
  • Annual physical and health screenings
  • Equipment and hardware allowance
  • Pet Insurance
  • Fertility benefits and IVF coverage
  • Happy hours and social events
  • Personal Shopping
  • Home Office Setup
  • Relocation assistance
  • Relocation Assistance
  • Severance package

• Apply before 2026-09-17

  Submit your application for this Hybrid technology position.