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AI Research Engineer

4 months ago

Round Rock, United States Dell Technologies Full time

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.

What you'll achieve

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.

You will:

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
Author and publish empirical findings in renowned, peer-reviewed AI conferences and journals, bolstering the organization's stature in innovation, and disseminate expertise through technical presentations and workshops
Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:

Essential Requirements

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
Desirable Requirements

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

We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. 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.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.