The opportunity timeline

• Overview

  Industrial Plus is hiring a Machine Learning Engineer in Corvallis, OR.

• Role description

  Some engineers tolerate complexity; the Machine Learning Engineer we want at Industrial Plus hunts it down and refactors it out of existence. This scrappy-but-steady role offers $88,000 - $121,000, full ownership of Keras projects, and the support of a team that ships together.

  Key Responsibilities

  • Review pull requests and uphold engineering standards across the technology team
  • Prototype proof-of-concept solutions for emerging technology requirements
  • Sketch the Continuous Learning architecture, defend it in review, then build the thing
  • Reach into legacy Public Speaking modules and leave them cleaner than you found them
  • Tune database queries and schemas for high-throughput Industrial Plus workloads
  • Ship Pandas experiments fast, kill the losers, and double down on what sticks

  What You'll Bring

  • The kind of curiosity that reads the docs before asking
  • Hands-on proficiency with Keras, ideally paired with Pandas
  • Comfortable presenting ideas to stakeholders at every level
  • Proven Vector Databases results, ideally seasoned in Corvallis, OR
  • Curiosity and a continuous drive to sharpen your technology craft
  • Proven leadership experience guiding mid-level-level initiatives

  Industrial Plus is the detail-focused Corvallis company that turned a niche technology obsession into something the whole OR now uses. Our Corvallis team treats every retro like a chance to quietly upgrade how we operate.

  Take home $88,000 - $121,000, build your Vector Databases under a mentor, lean on benefits, and shape a full-time week that finally fits.

  Confirmed active this hour for the Corvallis, OR crew, no waiting list.

  Ready to make your next move? submit your application for the Machine Learning Engineer role today.

• Required skills

  • dbt
  • Keras
  • Vector Databases
  • TensorFlow
  • Pandas
  • Hugging Face
  • Public Speaking
  • Continuous Learning

• Benefits & perks

  • Holiday Parties
  • Floating holidays
  • Prescription drug coverage
  • Company-wide holiday shutdown
  • Burnout prevention resources
  • Earned wage access
  • Free coffee and espresso bar
  • Global emergency assistance
  • Wellness program and challenges
  • Bike Storage
  • Work from anywhere policy

• Apply before 2026-09-13

  Submit your application for this Full-time technology position.