Research AI Engineer

Company: Dell
Location: Round Rock
Posted on: September 25, 2024

Job Description:

AI Research Engineer

Operating at the furthest reaches of the leading edge, our Research Scientists discover and create ground-breaking new technologies, materials and phenomena. Our goal is to illuminate and inspire through investigation, experimentation, examination, evaluation and testing - but, crucially, our role is also about thought leadership. In presentation, we expand the understanding of both scientific and business audiences. In collaboration, we help to translate the results of our research programs into irresistible commercial propositions.

We are seeking a highly qualified Artificial Intelligence (AI) Research Engineer to join our team. In this role, you will primarily focus on the advanced research and development of Large Language Models (LLMs) and Generative AI techniques. You will contribute to the innovation and optimization of these models to solve intricate machine learning (ML) problems. The ideal candidate will have extensive experience in conducting cutting-edge AI research, implementing advanced deep learning models, and optimizing such models for performance and efficiency.
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Join us to do the best work of your career and make a profound social impact as a AI Research Engineer on our Finance team in Round Rock, Texas.

Drive innovation by conducting advanced research in the areas of Deep Learning (DL), Generative AI, and other state-of-the-art AI technologies and Conceive, develop, and execute Proof of Concepts (POCs) that demonstrate the value and potential of your research to the organization.

Innovate through advanced research and development in the fields of Large Language Models (LLMs), Generative AI, Deep Learning, implementing and fine-tuning architectures using frameworks like PyTorch and TensorFlow to tackle complex ML/DL problems
Employ techniques like pruning, quantization, and model compression for optimizing AI model performance and efficiency, ensuring robustness and scalability of solutions
Document intricate research algorithms and models succinctly, contributing to technical reports, code annotations, and ensuring a comprehensive repository of research findings
Spearhead Proof of Concept (POC) execution and participate in patent creation processes to demonstrate research potential and safeguard intellectual property
8+ years of experience in AI, ML, DL, and Reinforcement Learning (RL), with an emphasis on Research in AI/ML/DL technologies and a MS/PhD/Bachelors' degree or a combination of experience and education
- Extensive knowledge and practical experience with deep learning, reinforcement learning, and Graph Neural Networks..
- Solid understanding of AI model architecture, training paradigms, fine-tuning processes, and optimization techniques (such as Gradient Descent, Adam, RMSProp)
- A track record of published research in reputable conferences and journals
- Excellent written and verbal communication skills for documenting research findings, presenting at conferences, and providing training


Experience with cloud-based AI solutions (AWS, GCP, Azure) and serverless computing (Lambda, Cloud Functions) is a plus --

If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
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