About our group:
The Data Storage and Memory Devices Group within the Seagate Research Group (SRG) is primarily responsible for performing experiments and simulations to guide the design the future of hard-disk drive based, and other, advanced data storage and memory technologies.
The work performed by this team directly informs the Company’s product roadmaps. Experiments involve electrical testing of state-of-the-art hard disk drive and memory systems to explore critical recording physics phenomena. Modeling and simulation are used to evaluate designs up to 10 years in the future, as well as elucidate experimentally observed phenomena. Machine learning models are also being developed to predict product reliability and inform future materials and design directions.About the role - you will:
Develop state-of-the-art AI/ML solutions to solve/optimize technical problems in recording physics or other advanced technology areas
Utilize machine learning tools and apply analytical techniques for data retrieval, preparation, and discovery
Be involved in advanced analytics projects and take part in the data science project journey from solution development to deployment
Implement data science algorithms and utilize advanced analytics platforms to create applications for stakeholders
Create visualization outputs to illustrate the prediction results
About you:
Passionate about computer programming and data science
Self-motivated, independent, and a team player with strong communication and interpersonal skills
Attention to detail and proactive
Your experience includes:
Programming experience in various Python libraries such as numpy, pandas, scipy, Tensorflow and/or PyTorch
Experience using collaborative tools such as GIT, GITLab, and Docker
Good understanding and experience in machine learning and deep learning, e.g., DNN, CNN, Transformer, Reinforcement Learning, Active Learning, GAN, etc.
You may also have software engineering skills and are familiar with Javascript and full-stack web development.
Physics modeling and simulation experience would be beneficial.
Pursuing a MS, or PhD degree in Computer Science, Computer Engineering, Software Engineering, Electrical engineering, Data Science, Statistics, Applied Math, Physics, or other related areas. Must be enrolled in Fall 2025 classes.
Location:
Our Normandale campus spans two suburbs, Edina and Bloomington, and serves as the Recording Head development and manufacturing arm of Seagate. Located in the heart of a bustling community, Seagate offers an on-site café, or if you prefer, you can drive to one of many restaurants just minutes away. Need to grab a gift over lunch time? Shopping is abundant in the area. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, outdoor activities, tournaments and group workouts. Looking for something more laid back? Reset in one of our meditation rooms, or simply take a walk around our indoor walking path. On-site cultural festivals, celebrations and community volunteer opportunities also abound. #internship
Location: Normandale, United States
Travel: None
