The opportunity timeline

• Overview

  Pizza Hut is hiring a Machine Learning Engineer in Santa Clarita, CA.

• Role description

  If clean APIs give you a small private thrill, the Machine Learning Engineer role at Pizza Hut in Santa Clarita, CA was practically written for you. A remote Machine Learning Engineer seat at Pizza Hut that pairs $138,000 - $197,000 with ownership, collaboration, and a long-term growth track.

  Key Responsibilities

  • Land Collaboration performance wins Pizza Hut can measure in CA retention numbers
  • Mentor the senior cohort through their first real Collaboration on-call at Pizza Hut
  • Keep Pizza Hut's NumPy dependencies patched before the CVEs become incidents
  • Document technical decisions, architecture, and APIs for the broader org
  • Read the Organization stack traces others skim past, and trace bugs to their root

  What You'll Bring

  • Working understanding of both Snowflake and Vertex AI in real-world settings
  • A CA work history, or strong reasons you'll thrive here anyway
  • Comfortable owning projects from concept through delivery
  • An inclusive attitude and eagerness to learn new skills
  • Comfort with the remote cadence of a Santa Clarita-based operation
  • Fluency in Vector Databases earned the hard way, not just from a tutorial

  Anchored in Santa Clarita, CA, Pizza Hut designs the kind of deeply-curious systems that technology teams quietly depend on every single day. Inclusion isn't a poster on the Santa Clarita, CA wall; it's who gets pulled into the room and heard.

  We are offering $138,000 - $197,000, a clear growth track, hands-on mentorship, and the kind of flexibility that keeps CA talent happy.

  The freshness epoch just refreshed, marking this Machine Learning Engineer role live again.

  Start your journey with Pizza Hut by submitting your application now.

• Required skills

  • Snowflake
  • Vertex AI
  • Vector Databases
  • Data Wrangling
  • Apache Spark
  • NumPy
  • Collaboration
  • Organization

• Benefits & perks

  • Paternity Leave
  • Community service opportunities
  • Performance Bonuses
  • Weight management programs
  • Stock Options
  • Paid sick leave
  • Bike-to-work program
  • Free laptop and tech setup
  • Competitive base salary
  • Fully remote position
  • Conference attendance budget
  • Charitable Giving
  • Hackathons and innovation time
  • Educational Assistance

• Apply before 2026-09-02

  Submit your application for this Remote technology position.