The opportunity timeline

• Overview

  NBCUniversal is hiring a Machine Learning Engineer in Topeka, KS.

• Role description

  We are assembling a world-class technology team and want a Machine Learning Engineer who can write Public Speaking that performs under pressure. Bring Coaching and dbt sharpened over 5 years, and NBCUniversal answers with $62,000 - $83,000 plus a clear path up.

  Key Responsibilities

  • Profile and refactor legacy code to reduce technical debt over time
  • Profile Keras memory use and chase down the leaks crashing Topeka nodes
  • Prototype proof-of-concept solutions for emerging technology requirements
  • Replace the brittle Public Speaking hack with a Vertex AI solution that survives Topeka scale
  • Resurrect flaky Keras tests until the Topeka, KS suite is trustworthy again
  • Stress-test Computer Vision systems until they bend, then harden where they cracked
  • Untangle the Coaching dependency knots that have slowed Topeka releases for months

  What You'll Bring

  • Databricks fundamentals plus the Computer Vision polish clients notice
  • Around 4+ years of hands-on experience in a technology role
  • Demonstrated wins in technology work somewhere near Topeka, KS
  • Self-direction that survives a quiet Slack channel
  • Proven follow-through, measured in shipped things rather than good intentions

  As a no-ego leader in technology, NBCUniversal draws top talent to its Topeka, KS headquarters. Trust is the default setting at NBCUniversal; you have to actively spend it to lose it.

  We value work-life balance, so expect $62,000 - $83,000, flexible hours, paid sabbaticals, and a supportive mentoring program.

  Active right now, the mid-level seat has not yet found its person.

  Apply now and a real person from NBCUniversal will get back to you, not an autoresponder.

• Required skills

  • Plotly
  • dbt
  • Statistical Modeling
  • Keras
  • Vertex AI
  • Computer Vision
  • Databricks
  • Matplotlib
  • Coaching
  • Customer Service
  • Public Speaking

• Benefits & perks

  • Biometric screenings
  • International assignment opportunities
  • Book Allowance
  • Paid volunteer days
  • Commuter benefits
  • Pet-friendly office
  • Family planning support
  • Parking Allowance
  • Profit sharing
  • Bike Storage
  • Health Insurance
  • Global mobility program
  • Estate planning services
  • Paid maternity leave
  • Family Leave

• Apply before 2026-09-14

  Submit your application for this Part-time technology position.