Research Intern (Summer 2027), ML and Security
About The Position
Seagate is a global leader in data storage, offering high-performance, sustainable options with capacity to match the expanding data economy. The Data Trust team provides innovative technological solutions for the privacy and reliability concerns of today’s customers and tomorrow’s applications. Through our dedicated research efforts, we anticipate potential attack vectors and stay one step ahead to safeguard and maximize the potential of digital content in an ever-evolving, on-demand world. Seagate Technology is looking for a talented researcher to directly contribute to advanced research efforts in data security. The Research Intern will be responsible for generating and evaluating new data privacy solutions, supporting research and product teams with security expertise, representing Seagate in the academic community, and conducting novel research in their field. Our ideal candidate combines intellectual curiosity with practical, results-driven research that builds on existing bodies of knowledge to produce actionable benefits for end users.
Requirements
- Deep expertise in machine learning, deep learning, and modern AI techniques.
- Strong understanding of large language models (LLMs) and foundation models.
- Interest in explainability, interpretability, trustworthy AI, representation learning, and model behavior analysis.
- Looking for an opportunity that allows you to learn and grow as a researcher, and one that encourages you to be hands-on a project from genesis to completion.
- Effective communicator of both technical details and high-level concepts, especially to those outside your field.
- Research/Publication record
- Machine Learning or a related field.
- Programming experience (e.g. Python)
- PhD or equivalent education and experience in the field of Mathematics, Computer Science, or related field and must be enrolled in Fall 2027 classes.
Responsibilities
- Developing an original research agenda and contributing to ongoing collaborations
- Designing Trustworthy Large Language Models Through Explainability and Interpretability
- Publishing papers, filing patents, and presenting results at industry and academic conferences
- Communicating with subject matter experts at all Seagate worldwide sites
- Evaluating emerging approaches for explainability, interpretability, and trustworthy large language models.
- Providing guidance for future Seagate products
Benefits
- medical
- dental
- vision
- employee stock purchase plan
- 12 paid holidays
- 48 hours of paid sick leave
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
