The opportunity timeline

• Overview

  Procter & Gamble is hiring a AI Engineer in Hattiesburg, MS.

• Role description

  The AI Engineer we want has shipped Deep Learning to production, broken it, and learned more from the second part than the first. At Procter & Gamble the $70,000 - $101,000 matters, sure, but so does owning the technology outcome with 4 years of Attention to Detail behind it.

  Key Responsibilities

  • Track and report on key performance metrics for technology services
  • Lead the Attention to Detail migration that finally retires Procter & Gamble's performance-driven legacy stack
  • Hunt down the latency spikes nobody at Procter & Gamble can explain
  • Turn vague technology tickets into crisp, testable Data Visualization acceptance criteria
  • Support migration of on-premise services to cloud-native architecture
  • Deliver mid-level-quality features within the $70,000 - $101,000 AI Engineer mandate

  What You'll Bring

  • The instinct to ask "what would change your mind?" before debating
  • A point of view, held loosely and defended well
  • Demonstrated capacity to mentor or support mid-level teammates
  • Comfort owning the unglamorous middle of an internship project
  • Comfort owning a number that goes up or down because of you
  • Comfort working in a fast-paced, slow-to-anger environment

  We're Procter & Gamble — an oddball-friendly Hattiesburg, MS outfit that treats Apache Spark less like a feature and more like a craft. We give people autonomy early and trust them to ask for support when they need it.

  What sits behind the $70,000 - $101,000 offer is a Procter & Gamble culture built on real mentorship, generous benefits, and schedules that bend toward family.

  Live and listening, the hiring team reads new applications as they arrive.

  We're not after perfect, we're after ready, so if that's you, apply for AI Engineer now.

• Required skills

  • MLOps
  • TensorFlow
  • Model Deployment
  • Apache Spark
  • Looker
  • R
  • Matplotlib
  • Databricks
  • Data Visualization
  • Deep Learning
  • Strategic Planning
  • Attention to Detail
  • Critical Thinking
  • Analytical Thinking

• Benefits & perks

  • Charitable Giving
  • Tenure-based rewards
  • 20% time for personal projects
  • Paid maternity leave
  • Accidental death and dismemberment coverage
  • Nutrition counseling
  • Commission structure
  • Spot bonuses and recognition awards
  • Basic life insurance

• Apply before 2026-09-15

  Submit your application for this Internship technology position.