Senior Applied AI Evaluation Engineer - RAN Ticket Intelligence
Parallel Wireless · On-site
This listing is no longer verified as available.
MeritLog keeps this source-backed description for reference. Availability is not verified, and there is no application link here.
Source: the employer's Lever job board. Open the original listing for current details. Availability is not verified for this retained page.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Kfar Saba
Job description
Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. We are looking for a hands-on Senior Applied AI Evaluation Engineer to improve how our RAN R&D organization analyzes engineering tickets, supports Root-Cause Analysis, recommends ownership, and learns from resolved cases. You will build rigorous evaluation datasets, establish meaningful baselines, compare internal and approved external tools, analyze failure modes, and prototype improvements across retrieval, classification, prompting, agent workflows, and model selection. This role is focused on measurable, evidence-based improvement rather than AI demonstrations. You will assess whether AI-generated conclusions are accurate, grounded in evidence, appropriately calibrated, and useful to engineering teams. As a secondary area of focus, you will analyze engineering workflows at case and team level to identify bottlenecks, handoffs, dependencies, and opportunities for process improvement.
Keep exploring
Available Engineering roles
These current listings are available to explore now.