The opportunity timeline

• Overview

  Public Service Institute is hiring a Machine Learning Engineer in Ann Arbor, MI.

• Role description

  At Public Service Institute, SQL isn't a buzzword on a slide, it's Tuesday, and we need a Machine Learning Engineer who feels the same way. We offer $71,000 - $105,000, a clear growth track, and a team where your 4 years of experience genuinely move the needle.

  Key Responsibilities

  • Sit with technology users in Ann Arbor to learn what the Generative AI tool really needs
  • Defend Public Service Institute uptime through the 2 a.m. Ann Arbor pages nobody volunteers for
  • Translate autonomy-driven business requirements into technical specifications and tasks
  • Tune database queries and schemas for high-throughput Public Service Institute workloads
  • Sketch Regression Analysis sequence diagrams that make the technology flow obvious to everyone
  • Design Apache Spark APIs other Ann Arbor, MI teams will still thank you for next year

  What You'll Bring

  • Data-driven problem-solving that doesn't wait for permission
  • Comfort steering technology conversations toward a decision
  • The kind of curiosity that reads the docs before asking
  • An Ann Arbor network, or the hustle to build one from scratch
  • 3+ years that left you with strong instincts and few illusions

  Public Service Institute is an Ann Arbor, MI-based company on a tinker-friendly path to redefine the technology industry. Recognition here is specific and frequent, not saved up for some annual Ann Arbor, MI ceremony.

  Beyond $71,000 - $105,000, Public Service Institute offers a generous benefits package and the chance to lead projects that build your skills.

  Newly timestamped, Public Service Institute keeps this mid-level opening on the active board.

  Don't let this Machine Learning Engineer opening pass you by; apply today.

• Required skills

  • SQL
  • Generative AI
  • Scikit-learn
  • Apache Spark
  • Regression Analysis
  • Prompt Engineering
  • Initiative
  • Innovation

• Benefits & perks

  • Annual company offsite
  • Kitchen Facilities
  • Annual physical and health screenings
  • Domestic partner benefits
  • Nutrition counseling
  • Professional development budget
  • Car Allowance
  • Vision insurance
  • Lactation support and nursing rooms
  • Mentorship programs
  • Emergency savings program
  • Subscription to industry publications
  • Corporate gym and entertainment discounts
  • Equity grants

• Apply before 2026-08-30

  Submit your application for this Remote technology position.