The opportunity timeline

• Overview

  Apollo is hiring a Machine Learning Engineer in Oklahoma City, OK.

• Role description

  We are assembling a world-class technology team and want a Machine Learning Engineer who can write Statistical Modeling that performs under pressure. Set the $69,000 - $99,000 aside a moment and the technology ownership alone makes this Apollo job worth a serious look.

  Key Responsibilities

  • Carry a quality-obsessed Large Language Models feature through code freeze without breaking Apollo stability
  • Tune Large Language Models queries until the OK database stops timing out under load
  • Configure and manage infrastructure as code across staging and production
  • Wire up Growth Mindset feature flags so Apollo can test on Oklahoma City traffic risk-free
  • Own the mid-level Process Improvement workstream that unblocks the rest of Apollo's Oklahoma City, OK roadmap

  What You'll Bring

  • Solid Process Improvement grounding, plus Scikit-learn you can pick up on the fly
  • Hands-on experience with modern Growth Mindset workflows and tooling
  • Knowledge of OK-specific regulations relevant to technology work
  • An OK sensibility, or genuine curiosity about this market
  • Meticulous attention to detail across every deliverable
  • Real curiosity about why Apollo customers do what they do
  • 3+ years that left you with strong instincts and few illusions

  Most of Apollo still fits in one Oklahoma City building, and that mission-soaked closeness is exactly why its technology work stays sharp. We build an environment where tinker-friendly ideas get tested quickly and credit is shared fairly.

  Here the offer compounds, $69,000 - $99,000 now, mentorship next, benefits throughout, and flexible Oklahoma City, OK hours for the long haul.

  Hiring is happening now, not last quarter, for this Machine Learning Engineer seat.

  Your search for a remote Machine Learning Engineer position ends here, so apply now.

• Required skills

  • Large Language Models
  • Prompt Engineering
  • Airflow
  • Azure ML
  • Scikit-learn
  • Statistical Modeling
  • Growth Mindset
  • Process Improvement

• Benefits & perks

  • Accidental death and dismemberment coverage
  • Remote work flexibility
  • Wellness Programs
  • Standing flexible benefits credits
  • Long-term disability insurance
  • Pet-friendly office
  • Annual physical and health screenings
  • Auto and home insurance discounts
  • Hackathons and innovation time

• Apply before 2026-08-21

  Submit your application for this Remote technology position.