Seagate Research Group (SRG) conducts research to transform Seagate’s considerable technical expertise, innovation, and manufacturing excellence to develop innovative technologies for the rapidly growing datasphere. SRG’s Software and Applied AI Research section conduct research in applying Machine Learning for Seagate advance project, products, and processes. We use State-of-the-Art ML methods to develop applications and Proof-of-Concepts. Our projects include applying ML in the following areas - Video Surveillance, Predictive Maintenance for HDD, optimizing data storage solution, Sensor-fusion for Augmented Reality and more
As a Research intern, you will have the opportunity to apply ML techniques to a variety of impactful projects within SRG’s Software and Applied AI Research team. These include: AI-Driven Design and Engineering Optimization: Develop AI/ML methods that combine physics-based simulation, surrogate modelling, inverse design, and multi-objective optimization to accelerate the design of advanced HDD technologies. Projects may include photonic structures and near-field transducers, magnetic readers, and lithography or manufacturing-process optimization. Scientific ML and Materials Discovery: Build atomistic-scale ML surrogates and physics-informed models to explore nanoscale materials, predict properties, and guide engineering decisions. AI for Storage Systems: Improve data-flow efficiency, storage architectures, and filesystems across user and kernel space using intelligent optimization techniques. You will play a supporting role, working alongside senior engineers on one or more of the exciting projects described above. Your responsibilities will be tailored to your background, skills, and interests.
We are looking for someone who is: Self-motivated and independent learner Strong Mathematical Foundation (linear algebra, statistics, optimization, calculus) Understanding of Machine Learning / Deep Learning and the existing frameworks such as Tensorflow and/or PyTorch Familiar with various ML approaches, including Supervised, Unsupervised, Reinforcement ML Keen to stay updated on the latest ML developments and trends, such as Agentic AI workflow, Generative AI, Transformers, GPT, GANs, Autoencoders, and Diffusion AI, Physics-informed Neural Network. Possessing a proactive, can-do attitude, with a perpetual curiosity and willingness to learn. Able to commit a full time Semester internship (Jan to May/Aug).
Currently pursuing a Bachelor's or Master degree or PHD in Computer Science, Engineering, Mathematics, AI for Science or a related field. Proficient in Python, with experience in TensorFlow, PyTorch, R-programming, and a lower-level programming language (C/C++ or Java). Knowledge or experience in one or more of the following areas: Applied reinforcement learning algorithms like Q-Learning or genetic algorithms in real-world applications. Machine Learning for vision or natural language processing (NLP)
The Shugart site (named after Seagate’s founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym, and recreation rooms. Our yoga and Zumba classes are very popular. We also offer classes and interest groups in photography, gardening, and foreign languages, and have various on-site celebrations, and community volunteer opportunities
Location: Shugart, Singapore
Travel: None
Seagate is a leader in mass-capacity data storage. We’ve delivered more than four and a half billion terabytes of capacity over the past four decades. We make storage that scales, bringing trust and integrity to innovations that depend on data. In an era of unprecedented creation, Seagate stores infinite potential. Unlock the full value of your data today.
