AI Engineer

Energy Innovation Corp; Springfield (OR); Remote; USD 83,000 - 126,000; Full time

Job summary

Audi in Springfield is seeking an AI Engineer to translate Continuous Learning metrics into actionable dashboards and keep schemas backward-compatible as we scale. The role blends data science with production engineering, requiring Deep Learning, Regression Analysis, and TensorFlow expertise, plus the ability to defend recommendations with stakeholders while ensuring uptime.

We offer a competitive salary in the $83,000 to $126,000 range with a flexible remote schedule and a supportive mentor.

Qualifications

• Experience applying Deep Learning and regression analysis to real-world data.
• Ability to defend recommendations and communicate clearly.
• Experience with TensorFlow and model deployment in production.

Responsibilities

• Translate Continuous Learning metrics into a daily leadership chart.
• Keep Continuous Learning schemas backward-compatible to avoid breaking upgrades.
• Defend Audi uptime and handle the 2 a.m. paging for Springfield.
• Configure and manage infrastructure as code across staging and production.
• Reproduce and fix Continuous Learning outages for future launches.
• Address Springfield launch issues and ensure smooth operations.
• Translate field reports into reliable, lasting fixes.
• Collaborate with cross-functional teams to ensure quality releases.

Skills

Deep Learning

Regression Analysis

TensorFlow

Tools

Infrastructure as Code

Job description

The phrase \"it works on my machine\" makes you wince, which is exactly why you'd make a great AI Engineer here in Springfield. Where most technology jobs cap your reach, this Audi one in Springfield pays $83,000 - $126,000 and widens it the longer you stay.

Key Responsibilities

• Translate Continuous Learning metrics into the one chart Audi leadership checks each morning
• Keep Continuous Learning schemas backward-compatible so Audi never forces a breaking upgrade
• Defend Audi uptime through the 2 a.m. Springfield pages nobody volunteers for
• Configure and manage infrastructure as code across staging and production
• Pull Audi's Work-Life Balance stack out of the OR region before the migration deadline
• Implement secure authentication and authorization flows using Statistical Modeling
• Translate the unhurried Continuous Learning outage into fixes that make the next Springfield launch dull
• Reproduce the forward-thinking bug from the Springfield field report, then make it impossible again

What You'll Bring

• Enough Deep Learning to be dangerous, enough Regression Analysis to be trusted
• A steady hand when three priorities all claim to be number one
• Comfort defending a recommendation in front of skeptics
• Storytelling instincts that turn data into a decision
• Real Continuous Learning chops, plus the TensorFlow curiosity to keep growing
• Strong time-management skills and a bias toward action

Across OR, the human-first technology systems people trust most often turn out to be Audi, built quietly in Springfield. We give people real $83,000 - $126,000 stakes in the outcome so ownership stops being a buzzword.

Here is the deal: $83,000 - $126,000, a mentor who answers, benefits that hold up, and a flexible remote schedule that fits real life.

The listing got a same-day refresh, so consider it live and ready.