The opportunity timeline

• Overview

  Discovery is hiring a Machine Learning Engineer in Youngstown, OH.

• Role description

  At Discovery, ETL Pipelines isn't a buzzword on a slide, it's Tuesday, and we need a Machine Learning Engineer who feels the same way. Rare is the mid-level opening that pairs $59,000 - $86,000 with the freedom to shape technology work the way this Youngstown one does.

  Key Responsibilities

  • Drive adoption of best practices in testing, security, and observability
  • Translate the scrappy Vertex AI outage into fixes that make the next Youngstown launch dull
  • Lead Flexibility design reviews that catch the costly mistakes before Youngstown, OH builds them
  • Prototype rough Databricks ideas fast, then decide which earn a place in Discovery's stack
  • Own a technology service end to end, from Databricks schema to on-call rotation
  • Tune RAG caching so Discovery survives the Youngstown launch spike on the same hardware

  What You'll Bring

  • Hands-on command of Flexibility, with Hadoop as a close second
  • Hands-on technology experience that holds up to follow-up questions
  • Familiarity with the rhythms of a hardworking full-time team
  • The discipline to document while it's fresh, not after it's forgotten
  • A portfolio that speaks louder than any line on your resume
  • Critical thinking skills and sound, independent judgment
  • Experience translating ETL Pipelines complexity for a non-technical audience

  Discovery writes the software that keeps technology operations humming, all of it engineered in Youngstown, OH by a supportive bunch. You'll find a flat structure where the best argument wins, regardless of title.

  Come for $59,000 - $86,000, stay for the mentorship, the benefits, and the rare flexibility that makes Discovery a builder-led place to grow.

  The Discovery team is expanding in Youngstown, OH this quarter, and this seat is part of that growth.

  If Youngstown is where you want to build a career, Discovery wants to hear from you.

• Required skills

  • ETL Pipelines
  • SageMaker
  • A/B Testing
  • Data Mining
  • Databricks
  • Seaborn
  • RAG
  • Hadoop
  • Kafka
  • Vertex AI
  • Adaptability
  • Cultural Awareness
  • Flexibility

• Benefits & perks

  • Car Wash
  • Financial wellness program
  • Paid sick leave
  • Annual flu and wellness fairs
  • Wellness stipend
  • First-week welcome kit
  • Profit sharing
  • Structured 30-60-90 day plan
  • Remote Work
  • Birthday off
  • Employee Assistance Program (EAP)

• Apply before 2026-11-27

  Submit your application for this Full-time technology position.