22 часа назад
Research Intern, AI Machine Learning
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Intern, AI Machine Learning (Machine Learning/AI): Applying machine learning and deep learning to HDD predictive analytics, storage optimization, edge AI, workload profiling, simulation, and material discovery with an accent on reinforcement learning, generative AI, and physics-informed models. Focus on developing proof-of-concepts, analyzing AI workloads, and building applied models for storage, vision, and natural language processing applications.
Location: Shugart, Singapore; onsite research and design center
Company
Seagate develops precision-engineered data storage solutions and conducts research for the growing datasphere.
What you will do
- Apply predictive analytics and machine learning to hard disk drive applications.
- Optimize data-flow throughput for storage solutions.
- Develop AI solutions for edge environments.
- Profile and analyze AI workloads.
- Build simulations and models using physics-informed machine learning.
- Contribute to AI-driven material discovery and applied research proof-of-concepts.
Requirements
- Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, or a related field.
- Strong foundation in linear algebra, statistics, optimization, and calculus.
- Proficiency in Python, TensorFlow, PyTorch, R, and a lower-level language such as C, C++, or Java.
- Understanding of supervised, unsupervised, and reinforcement learning.
- Knowledge or experience in applied reinforcement learning, genetic algorithms, computer vision, or natural language processing.
- Availability for a full-time semester internship from January to May or August.
Nice to have
- Familiarity with generative AI, Transformers, GPT, GANs, autoencoders, diffusion models, or physics-informed neural networks.
Culture & Benefits
- Research and design center accessible from 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 volunteer opportunities.
- No travel required.
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