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Intern, Research Data Scientist (LLM and Generative AI) | Scientist in Science & Pharmaceutica1

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Intern, Research Data Scientist (LLM and Generative AI)

Location:
San Diego, CA
Description:

pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor's 30:year legacy of technology advancements and strong IP portfolio but with a new mission-to enhance Murata's world:class capabilities with high:performance semiconductors. With a strong foundation in RF integration, pSemi's product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi's team explores new ways to make electronics for the connected world smaller, thinner, faster and better. Job Summary In this dynamic and impactful role, you will collaborate with a team of dedicated researchers and engineers at the forefront of AI innovation in the semiconductor industry. You will contribute to the design, development, and refinement of large language models (LLMs) and generative AI models, paving the way for the next generation of technological advancements in the field. Roles and Responsibilities This position has responsibility for: :Collaborate with cross:functional teams to design and refine LLMs and generative models for cutting:edge applications. :Apply your expertise in machine learning (ML) and natural language processing (NLP) to develop innovative algorithms and methodologies for generative modeling tasks. :Implement LLMs, including GPT:like models, on large:scale datasets to achieve optimal performance and accuracy. :Drive innovation in the semiconductor field by contributing to the development of next:generation AI solutions. Competency Requirements In order to perform the job successfully, an individual should demonstrate the following competencies: :Displaying Creativity : Produces a wide range of ideas and suggestions when presented with a problem or challenge; comes up with creative, new ways of doing things.:Communicating Effectively : Expresses ideas and information in a clear and concise manner; tailors message to fit the interests and needs of the audience; delivers information in a manner that is interesting and compelling to the listener.:Acquiring Information : Consults with others on problems and activities; collects information from a range of sources to assist and guide job activities; asks effective questions to obtain information to help him/her perform their job.:Thinking Broadly : Considers long:term consequences and implications associated with actions or events; sees relationships between diverse systems, organizations, or environments; considers problems from a range of viewpoints.:Learning Quickly : Quickly comprehends new problems and situations; needs very little time to learn and master new processes or tools; able to figure things out as he/she goes along. Minimum Qualifications (Experience and Skills) :Familiarity working with Large Language Models, prompting engineering and Retrieval Augmented Generation (RAG) frameworks. :Proficiency in deep learning frameworks (e.g. PyTorch, Tensorflow, etc.) and libraries commonly used in NLP and Generative AI. :Solid programming skills in Python and the ability to write clean, efficient, and well:documented code. :Strong theoretical and practical background in Large Language Models including experience with the state:of :art architectures. :Experience and demonstrable knowledge of Foundation Models (such as Transformers), encompassing their evaluation metrics, challenges in productization, and familiarity with common frameworks and methodologies. :Excellent problem:solving abilities and a keen interest in AI and machine learning. :Ability to work both independently and collaboratively in a team environment. :Stron
Posted:
April 9 on Tip Top Job
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