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Remote Wireless Sensor Network Jobs in Portland, OR

... sensor network to deploy across a fleet of operational fire-fighting aircraft. The goal is to ... THE ROLE This is a remote position with occasional travel. You will own all machine learning and ...

Remote Wireless Sensor Network information

See Portland, OR salary details

$10

$55

$87

How much do remote wireless sensor network jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote wireless sensor network in Portland, OR is $55.75, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $65.77 per hour, depending on experience, location, and employer.

What is the difference between Remote Wireless Sensor Network vs Wireless Network Engineer?

AspectRemote Wireless Sensor NetworkWireless Network Engineer
CredentialsDegree in Computer Science, Electrical Engineering, or related field; certifications like Cisco CCNA or CWNASimilar certifications; Cisco CCNA, CWNA, or equivalent
Work EnvironmentField deployments, remote locations, labs, or officesOffice settings, network operation centers, or client sites
Industry UsageIoT, environmental monitoring, industrial automationTelecommunications, enterprise networks, service providers
Search & Comparison IntentFocus on sensor deployment, data collection, remote monitoringNetwork design, troubleshooting, wireless infrastructure

Remote Wireless Sensor Network specialists focus on deploying and managing sensor systems in remote or field environments, often involving IoT applications. Wireless Network Engineers design, implement, and troubleshoot wireless networks within organizations. While both roles require similar certifications and technical skills, their work environments and primary responsibilities differ significantly.

What are the most commonly searched types of Wireless Sensor Network jobs in Portland, OR? The most popular types of Wireless Sensor Network jobs in Portland, OR are:
What are popular job titles related to Remote Wireless Sensor Network jobs in Portland, OR? For Remote Wireless Sensor Network jobs in Portland, OR, the most frequently searched job titles are:
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Job description

ABOUT THE PROGRAM
EmberWorks Sensing (part of the new R&D division within Coulson Aviation) is building a sensor network to deploy across a fleet of operational fire-fighting aircraft. The goal is to deliver real-time fire data and ongoing analytics to host agencies without changes to the existing missions. This is an early-stage product team working on impactful new technology for wildfire suppression efforts.
THE ROLE
This is a remote position with occasional travel. You will own all machine learning and computer vision work on the team. Your primary focus will be applying CV and ML to sensor data from operational wildfire aircraft to turn raw imagery into accurate, actionable outputs for the agencies on the ground. The work will grow in scope as the program matures and the data starts flowing.
WHAT YOU'LL OWN
  • Design and train CV/ML models to extract meaningful fire intelligence from sensor data
  • Establish model validation workflows using ground-truth perimeter data from host agencies
  • Iterate on model accuracy by fire type, terrain, and atmospheric condition
  • Shape the roadmap for how ML can extend beyond detection into predictive and operational analytics
  • Work with internal Coulson IT on model deployment and inference infrastructure
  • Contribute to the strategy for how real-time video processing can extend the system's operational value
WHAT WE'RE LOOKING FOR
  • 3+ years applied ML or CV engineering in a production environment
  • Strong experience with image segmentation, object detection, or scene classification (PyTorch, TensorFlow, or equivalent)
  • Comfortable taking a model from training through to deployed inference
  • Experience working with noisy, real-world sensor data rather than clean benchmark datasets
  • Ability to define and track model performance metrics independently
NICE TO HAVE
  • Experience with thermal or infrared imagery - satellite, aerial, or ground-based
  • Background in remote sensing, geospatial ML, or environmental monitoring
  • Familiarity with real-time or near-real-time video inference pipelines
  • Understanding of fire behavior, wildland fire operations, or related domains
  • Experience with edge or embedded inference (onboard processing)
  • Familiarity with photogrammetry or structure-from-motion pipelines
  • Preference for west coast location. Extra points for PNW

A NOTE ON THE ROLE
This role is intentionally broad for a small team. You will be the only ML engineer for a significant period. The ideal candidate is someone who has built models for real-world problems and is energized by working close to the operational use case rather than at arm's length from it.