Research Intern - ML and Security

About our group:

Seagate Technology is a global leader in data storage. We design and manufacture the next generation of hard 
drives, offering high-performance, sustainable options with the capacity to support a massively expanding 
demand for data. Our Data Trust research vector develops technological solutions to protect data privacy, 
reliability, and verifiability for today’s products and those to come. We collaborate with both academic and 
industry leaders to keep data security state-of-the-art one step ahead of creative adversaries and develop the 
methods to safeguard and maximize the potential of digital content in the future.

About the role - you will:

We are seeking a dedicated research intern with interests in machine learning, systems security, or related areas of computer science. On the Data Trust team, you’ll be responsible for working with our machine learning and systems security experts to design, evaluate, and prototype the best possible data protection techniques. Our internship projects offer a deep dive into a topic that is carefully chosen for your expertise and maximizes your learning opportunities. As an industry research lab, we combine academic rigor and careful analytic work with business drive and a focus on practicality and deployment readiness. You’ll work on an interdisciplinary team of engaging researchers and develop connections with our local and global networks that will last beyond the initial internship period. 

About you:

• Perform fundamental research in data security and write peer-reviewed scientific papers

• Designing new Adversarial Federated Learning Technologies and mitigation techniques.

• Present work to colleagues within Seagate and at external conferences

• Learn about and contribute to an understudied but fundamental pillar of the Internet, AI, and data science fields.

• Collaborate with experts around the globe, both Seagate-affiliated and outside

• Join an exciting cohort of students in a wide array of fields, including computer science, chemical & mechanical engineering, and biology. 

Your experience includes:

• Good verbal and written communication skills

• Teamwork is a core competency at Seagate, so you must be able to work and communicate effectively with a diverse group of people 

• Familiarity with principles of machine learning and systems security is essential

• Have research/publication record in Federated Learning, Machine Learning, or related field

• Have programming skills using one or more languages such as Python

• Current MS or PhD student in computer science or a closely related subject and enrolled in Fall 2026 classes. 

Location:

Our Shakopee campus is located 25 minutes southwest of Minneapolis in a setting with a rural vibe – it overlooks a horse racing track and stables, yet it has great entertainment venues close by as well. With wide-open spaces, the campus has plenty of space for running, biking, shooting some hoops or playing volleyball over lunch. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, tournaments and group workouts. Hungry? Seagate offers an on-site café with freshly sourced foods and specialty coffees, or if you prefer, drive to one of many restaurants just minutes away.   

The estimated base wage range for this position is $29-$43/hr. The individual base wage is based on work location and additional factors, including job-related skills, experience, and relevant education or training. 

Seagate offers comprehensive benefits to its eligible Interns, including, but not limited to, medical, dental, vision, and participation in the employee stock purchase plan.  Seagate also offers Interns 12 paid holidays and a minimum of 48 hours of paid sick leave.  The benefits for this position are based on a 24 to 40-hour-per-week schedule for a full calendar year and may differ depending on work location and tenure with the Company.

Location: Shakopee, United States
Travel: None