Research Intern, AI Machine Learning

Key Skills

Aartificial intelligence, Algorithms, C Programming, C++, Java Programming, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, TensorFlow

Job Description

About the role - you will:

As an intern in our dynamic team, you'll be supporting in implementation state-of-the-art Machine Learning algorithms across a variety of exciting projects. These include:

• Developing Ensemble Video and NLP Neural Networks for advanced Surveillance Applications.
• Engaging in Predictive Analytics for Hard Disk Drive (HDD) applications.
• Optimizing data flow and storage solutions.
• Creating innovative AI solutions for edge computing.
• Conducting AI-Workload profiling and analysis.
• Applying neural network compression techniques and exploring Edge AI Applications.

About you:

We are looking for someone who is:

• A self-motivated and independent learner with a strong mathematical foundation in linear algebra, statistics, optimization, and calculus.
• Proficient in understanding Machine Learning and Deep Learning frameworks such as TensorFlow and PyTorch.
• Familiar with various ML approaches, including Supervised, Unsupervised, and Reinforcement Learning.
• Keen to stay updated on the latest ML developments and trends, such as Generative AI, Transformers, GPT, GANs, Autoencoders, and Diffusion AI.

Possessing a proactive, can-do attitude, with a perpetual curiosity and willingness to learn.

Your experience includes:

• Currently pursuing a Bachelor's degree in Computer Science or Mathematics, Engineering, 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:

• Machine Learning for Video Analytics and NLP.
• Practical application of Reinforcement Learning Algorithms like Q-Learning or Genetic Algorithms.

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