We are seeking a full-time intern on-site to pursue independent research, including the following: • Identify and advance AI/ML techniques to be used for improving training of ML models/development of AI systems Identify and advance AI/ML techniques to improve the end-to-end lifecycle management of AI systems, including data ingestion and storage, model training, inference, deployment, monitoring, evaluation, and retraining. • Use off-the-shelf tools, (potentially developing a novel proof of concept) to implement and test the solution on a telecom use-case and quantify the end-to-end operational gains when applied to telecom use cases. This internship will explore the development of innovative applied AI/ML techniques in the wireless communications domain. In particular, we will focus on leveraging tools and systems that take advantage of sparse, energy-efficient and distributed architectures to bring your comparable gains for various telecom specific use-cases.
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Job Type
Full-time
Career Level
Intern