About NetApp

NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people.

If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. We embrace diversity and openness because it's in our DNA. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond.

"At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization."-George Kurian, CEO

Job Summary

NetApp is seeking a capable Data & Applied Scientist Intern to join Data Services organization. The overarching vision of this organization is to empower organizations to effectively govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As part of this initiative, the Data & Applied Scientist Intern will be responsible for creating synthetic data essential and improving our NLP (Natural Language Processing) models that are critical for NetApp’s strong data governance capabilities. 

This internship is going to be a challenging and a fun role in one of the most exciting roles in the industry today. It also offers valuable opportunities for the intern to co-author research papers, submit patents, contribute to open-source projects, enhancing their expertise in Computer Vision and NLP. 

Job Requirements

• Assist in the development of synthetic data that accurately mirrors real-world data. 
• Design quality metrics for generated data demonstrating high data quality. 
• Partner with in-house researchers and improve NLP models with synthetic datasets. 

Required Qualifications

• Master’s in computer science, Engineering, Applied Mathematics/Statistics/Data Science or equivalent skills. 
• Strong drive for creating value with skills such as Python, modern ML frameworks (PyTorch, transformers) and cloud platforms for experimentation. 
• Excellent communication and collaboration skills to work closely with in-house researchers and engineers. 

Preferred Qualifications

• Any relevant industry experience in AI/ML, with a record of research or shipping successful products at scale. 
• Demonstrated curiosity and tinkering with LLMs or AI agents. 
• Solid understanding of deep learning approaches in NLP and computer vision domains. 
• Active GitHub profile showcasing relevant ML projects or Kaggle achievements.