Meta
Research Engineer, Agentic Evaluation for Networking and Wireless Systems
$184K–$257K
Menlo Park, CA · Full-time · Posted Oct 7, 2026
- Experience
- 6+ years of experience in a relevant domain or 4+ years of experience with a Ph.D; also states five years of relevant experience alongside a bachelor's degree qualification.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; also lists a bachelor's degree in electrical engineering, computer science, or a related field.
About the job
Designs and evaluates agentic task environments for networking and wireless systems, using deterministic verification and frontier models to measure domain reasoning capabilities.
What you'll do
- Build task environments across wireline networking, radio access, and non-terrestrial networks, with action budgets, hidden state, and invariants.
- Create deterministic verifiers and calibrate tasks by analyzing frontier-model failures.
- Collaborate with research partners to publish findings based on measured capability gaps.
What they ask for
- Production experience in network operations and configuration, radio access systems, or satellite and aerial communications.
- Proficiency in Python and experience building production or research codebases and debugging simulation or emulation environments.
- Experience writing automated verification or test infrastructure.
- Experience implementing responsible AI practices and integrating AI tools to improve workflows.
Nice to have
- Experience with programming languages such as C, C++, or Java, and scripting languages such as Javascript or PHP.
- Experience with code reviews, testing, rollout, monitoring, and proactive quality improvements.
Pay
$183,997/year to $257,000/year USD base salary; bonus and equity also stated, with no amounts specified.
Tools
Python, Batfish, YANG, C, C++, Java, Javascript, PHP
AI focus
Evaluates frontier models’ networking and wireless domain reasoning; integrates AI tools into workflows and applies responsible AI practices.
Model-written summary · the original posting is authoritative