3 дня назад
Research Intern, AI Machine Learning
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Intern, AI Machine Learning (AI/ML): Developing machine learning applications and proof-of-concepts for HDD design, materials discovery, and storage systems with an accent on physics-based simulation, surrogate modeling, inverse design, and optimization. Focus on building physics-informed models, exploring nanoscale materials, applying reinforcement learning, and improving data-flow efficiency across storage architectures.
Location: Shugart, Singapore; onsite research and design center
Company
Research Group applies technical expertise, innovation, and manufacturing capabilities to develop technologies for the growing datasphere.
What you will do
- Develop AI and machine learning methods combining physics-based simulation, surrogate modeling, inverse design, and multi-objective optimization for advanced HDD technologies.
- Support projects involving photonic structures, near-field transducers, magnetic readers, and lithography or manufacturing-process optimization.
- Build atomistic-scale machine learning surrogates and physics-informed models for nanoscale materials discovery and property prediction.
- Improve data-flow efficiency, storage architectures, and filesystems across user and kernel space.
- Work alongside senior engineers on research projects, with responsibilities tailored to background, skills, and interests.
Requirements
- Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, AI for Science, or a related field.
- Strong foundation in linear algebra, statistics, optimization, and calculus.
- Understanding of machine learning and deep learning, including supervised, unsupervised, and reinforcement learning.
- Proficiency in Python and experience with TensorFlow, PyTorch, R, and a lower-level language such as C, C++, or Java.
- Ability to commit to a full-time semester internship from January to May or August.
- Self-motivated, independent, proactive, curious, and willing to learn.
Nice to have
- Experience applying Q-learning or genetic algorithms to real-world problems.
- Machine learning experience in computer vision or natural language processing.
- Familiarity with generative AI, transformers, GPT, GANs, autoencoders, diffusion models, agentic AI workflows, or physics-informed neural networks.
Culture & Benefits
- Purpose-built research and design site accessible from the One-North MRT Station.
- On-site badminton courts, table tennis tables, gym, and recreation rooms.
- Yoga, Zumba, photography, gardening, and foreign-language classes and interest groups.
- On-site celebrations and community volunteering opportunities.
- No travel is required.
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