Senior Principal Research Scientist

Senior Principal Research Scientist

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound social impact as a Senior Principal Research Scientist on our Data Science Team in Austin, Texas.

What you’ll achieve

As a Senior Principal Research Scientist, you will be responsible for working with us on key strategic initiatives in Generative AI.

You Will:

You will be leading a team in defining, implementing and integrating first-of-a-kind intelligent solutions, leveraging late-breaking LLM, AI/ML and Data Science technologies.

Key Responsibilities:

• Be the go-to expert to develop and apply advanced generative architecture in a large-scale, complex environments
• Conduct rapid prototyping of emerging tools/technology in the space of Gen AI.
• Deliver enterprise grade AI/Machine learning solutions based on LLMs in the area of Technical Support Services for large scale environments
• Architect and scale machine learning models for efficient deployment across various platforms.
• Work collaboratively with data scientists to refine algorithms and models based on performance metrics like scale, latency, and throughput. Publish white papers, publications on findings and drive adoption across projects

Essential Requirements:

• 10+ years of related experience in a professional role with a Bachelor's degree, or 6+ years with a Master's degree; or 3+ years with a PhD; or equivalent
• Degree in Computer Science, Data Science, or a related field with at least 3 years of industry experience in software engineering or DevOps
• Outstanding problem solving, structuring, analytical and mentorship skills
• Proven track record in applying and implementing Generative AI technologies, Large Language Models and Intelligent Automation
• Proficient in object-oriented programming languages like C# or Java, with solid experience in Python, Spark, TensorFlow, XGBoost

Desirable Requirements:

• Proven ability to solve problems creatively and effectively. Extensive experience in machine learning, particularly in developing solutions utilizing Neural Networks. Significant software engineering experience with a focus on ML model production and scalability in low-latency environments
• Advanced understanding of Docker, Kubernetes, cloud-native computing, DevOps, data streaming, and parallelized workloads

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.


Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

Dell’s Flexible & Hybrid Work Culture

At Dell Technologies, we believe our best work is done when flexibility is offered.

We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations page.