Research Intern, AI Machine Learning

Seagate Technology; Singapore; On-site; SGD 11,000 - 20,000; Full time

Job summary

Seagate Technology's Seagate Research Group (SRG) in Singapore invites a semester-long internship for students in Computer Science, Engineering, Mathematics, or AI-related fields.

You will work with senior engineers on AI/ML design, machine learning surrogates, and data-driven optimization for HDD technologies, storage systems, and related areas. This paid internship runs Jan–May/Aug.

Qualifications

• Strong mathematical foundation and ML/DL knowledge.
• Experience with Python and ML frameworks is preferred.
• Familiar with reinforcement learning concepts and AI trends.

Responsibilities

• Assist AI/ML design and optimization projects under guidance.
• Support physics-based simulation and surrogate modelling tasks.
• Contribute to ML surrogates for nanoscale materials исследования.
• Collaborate with senior engineers on storage-related AI solutions.
• Prepare results and present findings to the team.

Skills

Mathematics

Independent learner

Proactive

Python programming

ML/DL concepts

TensorFlow

PyTorch

Reinforcement learning

NLP/vision basics

Education

Bachelor's/Master/PhD in CS/Engineering/Math/AI for Science

Tools

TensorFlow

PyTorch

R

C/C++

Java

Job description

About Our Group

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.

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

About The Role - You Will

• 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.

About You

• 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).

Your Experience Includes

• 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)

Location

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