Applied AI Modeling Masters/PhD Intern - Summer 2025

Nice to meet you! 

We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers.       

We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness.  If you’re looking for a dynamic, fulfilling internship coupled with flexibility and a world-class employee experience, you’ll find it here.      

What you’ll do    

Looking for *that* internship? The game-changing one that’ll help you learn, grow, and chart your path forward? You’ll find it at SAS. Our interns aren’t coffee runners – they do real, meaningful work. Our award-winning internship program is focused on development, culture, and community. We’ll help you grow professionally, find (or further) your passion, and make memorable connections that last beyond the summer.     

You'll be joinging the Applied AI Modelling (AAIM) team. Within SAS R&D, the team leads the design, development, and implementation of prebuilt model packages for SAS customers across many industries such as CPG, manufacturing, retail, insurance, among others.   

As an intern, you might:  

• Build Generative AI models to solve the challenges of SAS customers using large language models (LLMs) and/or visual language models (VLMs). 

• Use libraries like LangChain, LangSmith etc. to build applications leveraging LLMs and VLMs. 

• Collaborate with data scientists and assist in prompt engineering, Retrieval-Augmented Generation (RAG) workflow to solve the business problems of SAS customers. 

• Researching and developing high-quality demos to illustrate the application of Generative AI in solving practical problems. 

• Optimize the deployment pipeline for Generative AI models. 

• Part of a team of experts with different specialized skill sets including machine learning, deep learning, natural language processing, computer vision etc.  

Required Qualifications  

• Degree Type: PhD or Master of Science (MS) student 

• Targeted Majors: Computer Science, Electrical Engineering, or closely related field 

• Experience with Python, Generative AI foundation models like GPT or Llama or Claude models.  

• You’re a college student enrolled in an accredited program, not graduating prior to December 2025.  

• You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.  

• Strong communication skills – both written and verbal.  

• Leadership abilities. Your past experiences demonstrate you’ll take initiative and go above and beyond the call of duty.  

• You’re interested in the future of Analytics and embrace technology.  

Preferred Qualifications  

• Experience developing and deploying Generative AI models, PyTorch, Tensor Flow, Nvidia CUDA or SAS. 

• Experience with practical implementations of Generative AI and advanced analytics projects 

• Experience with bash scripting, Docker and Kubernetes.  

Location  

• Cary HQ, Hybrid or Remote

Perks of the job    

• Work with (and learn from) the best. As a SAS intern, you’ll get face time with our top executives!    

• Free SAS programming training and certification.      

• At SAS, the Future of Work is whatever you want it to be. Want to work remotely? That’s cool. Prefer a mix of sweatpants and in-person collaboration? That’s great, too.     

• Your well-being matters, and that’s why we support all dimensions of your well-being by offering programs that reduce stress and distractions to help you stay healthy and productive.  This includes an on-site and remote Work/Life Center staffed by master’s level Social Workers and an Employee Assistance Program.   

• We work hard, but we like to play hard, too. Enjoy hackathons, social events and other opportunities to connect + engage.     

Diverse and inclusive       

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.       

Additional Information    

To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity/Affirmative Action employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Know Your Rights. Also view the Pay Transparency notice.    

Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.   

SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.   

Pay Transparency: The hourly rate for SAS internships is determined by the applicant’s year in school and the position they are hired into. Hourly rates range from $15 – $31 for associate’s/bachelor’s level positions and $29 - $49/hour for master’s/Ph. D positions. Internship roles are not eligible for bonus.