Senior AI / ML Engineer

Seagate Technology; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Seagate Technology's SRG in Singapore invites a Data Scientist or AI/ML Engineer to design, implement, and deploy cutting-edge ML solutions for next-generation storage technologies at our Shugart site. You will explore SciML, RL, and graph neural networks while collaborating with physicists, material scientists, and firmware engineers to accelerate HDD components and data systems.

This role offers access to world-class facilities and a culture of integrity, innovation, and inclusion as you

Qualifications

• PhD or MSc in CS/AI/Math/Physics.
• Strong Python with PyTorch or TensorFlow; C/C++ or Java a plus.
• Solid background in linear algebra, probability, statistics, optimization, calculus.
• Experience in supervised/unsupervised learning, DL, transformers, diffusion models.

Responsibilities

• Design, implement, and deploy advanced ML solutions.
• Build state-of-the-art models for HDD components and materials.
• Collaborate with domain scientists and firmware engineers to integrate AI into systems.

Skills

Python

PyTorch

TensorFlow

C/C++

Java

Math foundations

ML/DL

RL

Education

PhD or MSc

CS/AI/Math/Physics

Tools

PyTorch

TensorFlow

CUDA

SciPy

Job description

Seagate Research Group (SRG) drives innovation by combining Seagate’s deep technical expertise, world-class manufacturing, and cutting-edge research. Our mission is to explore transformative technologies that shape the rapidly growing datasphere.

Within SRG, Applied AI Research team applies advanced Machine Learning (ML) methods to accelerate Seagate’s next-generation projects, products, and processes.

About the role - you will:

We are looking for a Data Scientist or AI/ML Engineer to build state-of-the-art models and proof-of-concepts. In this role, you will design, implement, and deploy advanced ML solutions. Depending on your expertise and interests, you will focus on one of the following key tracks:

• Scientific ML & Discovery: Novel material discovery at the nanoscale, atomistic-scale ML surrogates, and physics-informed ML for simulation.
• Engineering Optimization: AI-driven engineering design for HDD components and predictive maintenance for performance reliability.
• Systems Architecture: Optimization of data flow, storage architectures, and filesystem optimization (user and kernel space).

About you:

• Innovate: Develop ML/DL models to solve complex physical engineering and system problems.
• Simulate: Build surrogate models to accelerate computationally expensive Finite Element simulations.
• Optimize: Apply Reinforcement Learning or evolutionary algorithms to engineering design and storage systems.
• Collaborate: Bridge the gap between domain experts (physicists, material scientists, firmware engineers) and AI implementation.
• Mindset: A self-motivated and independent learner who collaborates effectively, solves problems creatively, and is eager to explore emerging technologies.

Your experience includes:

• Education: PHD/Master’s degree in Computer Science, AI/ML, Applied Mathematics, Physics, or a related field.
• Tech Stack: Proficiency in Python and frameworks like PyTorch or TensorFlow. Experience with C/C++ or Java is a plus.
• Mathematical Foundation: Strong understanding of linear algebra, probability, statistics, optimization, and calculus.
• ML Expertise: Hands-on experience in relevant areas such as supervised and unsupervised learning, deep learning, transformers, or generative AI—including GANs, VAEs, and diffusion models.

Candidates are expected to have depth in at least one of the following areas:

• Scientific Machine Learning (SciML): Experience with physics-informed neural networks (PINNs), neural operators such as Fourier neural operators (FNOs), or DeepONet.
• Generative Design: Using VAEs, GANs, and Diffusion Models for molecular/material structures.
• Graph Neural Networks (GNNs): Applied to structured data, molecules, or complex engineering systems.
• Optimization and Reinforcement Learning: Experience applying reinforcement learning, Bayesian optimization, evolutionary algorithms, or related techniques to engineering or systems optimization.
• Systems and Storage: For candidates specializing in systems architecture, strong knowledge of operating-system internals and low-level programming in C or C++ is essential.

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

With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.

We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.

Seagate is powered by our talented andpassionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.

Join us and get inspired to make a difference in the datasphere!

Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster

Seagate will provide reasonable accommodationwith the application process upon request as required to comply with applicable laws. If you need assistance oraccommodation due to a disability, you may contact us at [e-mail].

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