Machine Learning Engineer

The Machine Learning Engineer we hire will help scale our infrastructure from thousands to millions of concurrent users. With ownership, a $106,000 - $137,000 salary, and 3 years of Big Query to draw on, you'll do your best work at Parker Hannifin.

• Stitch XGBoost events into the Prioritization pipeline feeding Parker Hannifin's technology reports
• Trace a technology number back through Databricks services until it finally adds up
• Automate the manual Prioritization chores that quietly drain Hilo, HI engineering hours
• Negotiate Clustering tradeoffs with product when Parker Hannifin timelines and reality collide
• Bridge Databricks and Scikit-learn so the two halves of Parker Hannifin's platform finally talk
• Build Big Query dashboards so Parker Hannifin's technology team stops asking engineers for numbers
• Wire Continuous Learning APIs to Python consumers so data lands where Hilo teams expect it
• Architect fault-tolerant distributed systems leveraging Attention Management and Hypothesis Testing

• Mid-level-caliber judgment about when to
  ** escalate
  * * and when to
  ** absorb**
• The reflex to surface risk before it surfaces itself
• Comfort navigating ambiguity when the brief arrives half-written
• Willingness to relocate to Hilo, HI, or to make remote work
• Comfort being measured against a clear mid-level bar
• Strong analytical and problem-solving capabilities

Inside Parker Hannifin's Hilo headquarters, a deeply collaborative team treats every Python bug like a personal insult worth fixing tonight. At Parker Hannifin feedback has a short half-life, delivered close to the moment it can still help.

Think competitive $106,000 - $137,000, full benefits, a clear runway to grow your dbt, and the latitude to work the way you work best.

This Hilo, HI role just got a fresh timestamp, and applications are flowing in.