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EdgeRunner AI

Edge AI video analytics for traffic

Forward Deployed Scientist

AI Research +1Confirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Candidates must be eligible to receive a Top Secret/Sensitive Compartmented Information clearance; active clearance is preferred.
  • U.S. citizenship is required to obtain a security clearance.
  • A PhD in a relevant field is preferred, but relevant research experience from industry, military, or government will also be considered.
  • Experience performing experimentation in one or more of the following areas: reinforcement learning; large-scale data ablations; pretraining and midtraining; vision model training and multimodal training; machine translation and multilingual modeling; training data development; benchmark development; inference optimization; agentic harness development; robotic integration of large language models; or blind model adaptation by end users.

Responsibilities

  • Represent the EdgeRunner Research organization in the field for key customer engagements and projects.
  • Work closely with the core EdgeRunner Research, engineering, and business development teams, directly supporting customers critical to national security.
  • Travel to meet with customers on-site for prototyping, scoping, and implementing new solutions.
  • Train models, evaluate artificial intelligence systems and harnesses, and bring artificial intelligence capabilities to warfighters.

Desired Qualifications

  • A track record of taking initiative, understanding how business objectives translate into technical solutions, interacting with customers, and working comfortably with ambiguity.

About the Company

EdgeRunner AI

Edge AI video analytics for traffic

EdgeRunner AI builds AI-powered video analytics for smart cities and transportation. It converts existing traffic cameras into real-time sensors that collect data such as near-miss events, traffic volumes, vehicle classifications (cars, pedestrians, cyclists), and speeds. The Adar platform runs on edge devices at the camera site, avoiding heavy cloud processing and reducing latency and costs, while still providing actionable insights. The company differentiates itself by using edge computing that leverages existing infrastructure to deliver data-as-a-service to municipalities and traffic-management/urban-planning firms. Its goal is to enable safer roads and smoother urban mobility through data-driven decisions and proactive infrastructure improvements.

Company size
11-50
Company stage
Series A
Total funding
$17.5M
Headquarters
Bellevue, WA
Founded
2024

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