Seagate Technology

Research Intern, AI Machine Learning

Seagate Technology

internship

Posted on:

Location Type: Office

Location: Shugart • Singapore

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Job Level

Entry Level

Tech Stack

JavaPythonPyTorchTensorflow

About the role

  • Apply ML techniques to a variety of impactful projects within SRG’s Software and Applied AI Research team
  • Applying predictive analytics for Hard Disk Drive (HDD) applications
  • Optimizing data flow throughput for Storage solutions with ML
  • 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)
  • AI Driven Material Discovery

Requirements

  • Currently pursuing a Bachelor's or Master degree or PHD 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)
  • 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
  • A self-motivated and independent learner with a strong mathematical foundation in linear algebra, statistics, optimization, and calculus
  • 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)
Benefits
  • Employee recreational facilities
  • Badminton courts
  • Table tennis tables
  • In-house gym
  • Recreation rooms
  • Yoga classes
  • Zumba classes
  • Classes and interest groups in photography, gardening, and foreign languages
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonTensorFlowPyTorchR-programmingCC++JavaMachine LearningDeep LearningPredictive Analytics
Soft Skills
self-motivatedindependent learnerstrong mathematical foundation