Wireless Network Lab Intern

Responsibilities

• Design and develop AI/ML models tailored to telecom operational use cases, including diagnostics, protocol analysis, and test automation.
• Build and manage data pipelines – curate, clean, and structure training datasets from diverse telecom sources.
• Run training experiments on GPU infrastructure and iterate on model performance.
• Develop evaluation benchmarks and validate model outputs against domain expert assessments.
• Collaborate with cross‑functional engineers (RF, RAN, security, software) to translate domain expertise into model capabilities.
• Contribute to a research publication documenting methodology and results.

• Currently pursuing a Ph.D. (or advanced M.S.) in Electrical Engineering, Computer Science, or a related field.
• Research focus in machine learning with hands‑on experience in deep learning frameworks (PyTorch or Tensor Flow).
• Experience training and fine‑tuning large‑scale models.
• Strong Python proficiency and familiarity with GPU‑accelerated workflows.
• Track record of research output (publications, preprints, or significant thesis work).
• Ability to work independently on open‑ended research problems in a collaborative team environment.

• Experience with foundation models, large language models, or domain adaptation techniques.
• Familiarity with parameter‑efficient fine‑tuning methods (LoRA, adapters, or similar).
• Background in wireless communications, signal processing, or telecom systems.
• Experience with retrieval‑augmented generation (RAG) or knowledge‑grounded AI systems.
• Prior industry research internship experience.

VIAVI Solutions is an equal opportunity and affirmative action employer – minorities/females/veterans/persons with disabilities.