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Job Description

A top Telecom Labs organization is seeking a research engineer to help develop a never before built Network Foundation Model. Like LLMs for text, this NFM will unlock agentic capabilities for Network Data. Building and finetuning this model will allow them to advance their 5G network capabilities in ways not yet possible. The Research Engineer will utilize their expertise in Deep Learning and hands on experience with GAN, Diffusion, and Transformer models to solve complex problems related to multi-modal representation learning. Hands-on experiences with Pytorch/Pytorch lighting/Tensorflow on CUDA/GPU is required. Any experience on training domain-specific foundation models and wireless/wired networking would be a huge plus

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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Skills and Requirements

Expertise in Deep Learning with experience in GAN, Diffusion, and Transformer Models

Hands on technical skills in PyTorch/Tensorflow

CUDA/GPU Programming

Advanced Degrees in Computer Science or similar field

Experience working as a research engineer for an accredited university 5G, RAN, or wired/wireless Networking Data Elements experience

PhD null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].