网络与无线系统智能体评估研究工程师

Meta（Meta Platforms）岗位：Research Engineer, Agentic Evaluation for Networking and Wireless Systems Responsibilities

Design and build task environments across wireline networking, radio access, and non-terrestrial networks

Write deterministic verifiers. Sources include network simulators, formal checkers such as Batfish or YANG validation, and closed-form physics such as orbit propagation and link budgets

Impose action budgets and hidden state so that exhaustive search does not work and the task measures diagnostic policy rather than brute force

Define invariants, and make any repair that breaks a previously satisfied property fail the episode

Calibrate difficulty by running frontier models against each task, then analyze failures to confirm they come from domain reasoning rather than ambiguity or broken grading

Work with research partners inside and outside the team to turn measured capability gaps into published findings

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Bachelor's degree in electrical engineering, computer science, or a related field, plus five years of relevant experience

Production experience in at least one of: network operations and configuration, radio access systems, or satellite and aerial communications

Proficiency in Python, with experience building and maintaining production or research codebases, and comfort building and debugging simulation or emulation environments

Experience writing automated verification or test infrastructure where correctness is checked by a program, not by inspection

Able to reason about a system from partial telemetry and explain why one hypothesis fits the evidence better than another

Experience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Experience in programming languages such as C, C++, or Java, and scripting languages such as Python, Javascript, or PHP

Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a relevant technical field, or equivalent practical experience.

Five years of relevant experience with a Bachelor's degree.