The opportunity timeline

• Overview

  PwC is hiring a Machine Learning Engineer in Bend, OR.

• Role description

  Help us reimagine how millions of people interact with technology as our newest Machine Learning Engineer in Bend, OR. This mid-level Machine Learning Engineer job in Bend converts 3 years of experience into $92,000 - $137,000 and standing influence over the work.

  Key Responsibilities

  • Build the forward-thinking Plotly feature that wins back the OR accounts PwC lost
  • Wire up Data Mining feature flags so PwC can test on Bend traffic risk-free
  • Translate the customer-centric Seaborn outage into fixes that make the next Bend launch dull
  • Map data flow across PwC's Professionalism services and spot the leaks
  • Catch the tinker-friendly MLflow regression in staging before it ever reaches Bend customers
  • Catch the Plotly race conditions that only surface under Bend peak traffic
  • Wire MLflow APIs to Plotly consumers so data lands where Bend teams expect it
  • Architect fault-tolerant distributed systems leveraging Time Management and Data Mining

  What You'll Bring

  • A growth mindset and openness to constructive feedback
  • Sharp written and verbal communication, tested under scrutiny
  • The reliability that lets a manager stop checking in
  • Data Mining fundamentals plus the MLOps polish clients notice
  • Meticulous attention to detail across every deliverable

  PwC is the transparent Bend company that turned a niche technology obsession into something the whole OR now uses. We look out for one another, and burnout is treated as a problem to solve, not a badge to wear.

  We anchor everything in $92,000 - $137,000, then add mentorship, benefits, and the freedom to flex your part-time schedule around real life.

  Hot off the queue today, PwC wants to hear from you this week.

  Your move: the Machine Learning Engineer role in OR is live, and the apply button is right there.

• Required skills

  • MLOps
  • Data Mining
  • Plotly
  • Deep Learning
  • MLflow
  • Seaborn
  • Professionalism
  • Time Management

• Benefits & perks

  • Frequent flyer program enrollment
  • Earned wage access
  • Certification reimbursement
  • Conference attendance budget
  • Free snacks and beverages
  • Travel Allowance
  • Health Savings Account (HSA) with employer contribution
  • Paid volunteer days
  • Bike Storage
  • Paid certification exam fees
  • Employee Assistance Program
  • On-site cafeteria
  • Community Service
  • Pet insurance

• Apply before 2026-08-22

  Submit your application for this Part-time technology position.