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. Required Qualifications 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 TensorFlow). 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. Preferred Qualifications 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. #J-18808-Ljbffr Viavi Solutions Inc.