AI/ML Research Engineer (Intern)

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. 

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:

As an Data Science intern, you will have the opportunity to apply ML techniques to a variety of impactful projects within SRG’s Software and Applied AI Research team. These include: 

• Applying predictive analytics for Hard Disk Drive (HDD) applications. 

• Optimizing data flow throughput for Storage solutions. 

• Developing AI solutions tailored at the edge 

• Profiling and analyzing AI workloads 

• Engaging in simulation and modeling using physics-informed Machine Learning models (Theory-Trained Models). 

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, Physics-informed Neural Network. 

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

Your experience includes:

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

Location: Shugart, Singapore
Travel: None