> job detail
S
🤖ML Engineer
Research Intern, AI Machine Learning (Shugart, SG)
Seagate · Shugart, SG
// classified as
ML Engineer (Productionizing models, serving, MLOps.)
posted
1d ago
location
Shugart, SG
languages
python
tools
—
> stack
pythonpytorchtensorflowtransformers
> education
masterphd
> description
<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>About our group:</b></H2>
</div><div><p><span style="font-size:11.0pt"><span><span style="font-family:'Calibri', sans-serif"><p>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. </p>
<p>SRG’s Software and Applied AI Research section conduct research in applying Machine Learning for Seagate advance project, products, and processes. </p>
<p>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</p></span></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>About the role - you will:</b></H2>
</div><div><p><span style="font-size:11.0pt"><span><span style="font-family:'Calibri', sans-serif"><p>As a Research 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: </p>
<ul>
<li>Applying predictive analytics for Hard Disk Drive (HDD) applications. </li>
<li>Optimizing data flow throughput for Storage solutions with ML. </li>
<li>Developing AI solutions tailored at the edge </li>
<li>Profiling and analyzing AI workloads </li>
<li>Engaging in simulation and modeling using Physics-Informed Machine Learning models (Theory-Trained Models) </li>
<li>AI Driven Material Discovery </li>
</ul></span></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>About you:</b></H2>
</div><div><p><span style="font-size:11.0pt"><span><span style="font-family:'Calibri', sans-serif"><p>We are looking for someone who is: </p>
<ul>
<li>A self-motivated and independent learner with a strong mathematical foundation in linear algebra, statistics, optimization, and calculus. </li>
<li>Proficient in understanding Machine Learning and Deep Learning frameworks such as TensorFlow and PyTorch. </li>
<li>Familiar with various ML approaches, including Supervised, Unsupervised, and Reinforcement Learning. </li>
<li>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. </li>
<li>Possessing a proactive, can-do attitude, with a perpetual curiosity and willingness to learn. </li>
<li>Able to commit a full time Semester internship (Jan to May/Aug).</li>
</ul></span></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Your experience includes:</b></H2>
</div><div><p><span style="font-size:11.0pt"><span><span style="font-family:'Calibri', sans-serif"><ul>
<li>Currently pursuing a Bachelor's or Master degree or PHD in Computer Science, Engineering, Mathematics or a related field. </li>
<li>Proficient in Python, with experience in TensorFlow, PyTorch, R-programming, and a lower-level programming language (C/C++ or Java). </li>
<li>Knowledge or experience in one or more of the following areas: </li>
<li>Applied reinforcement learning algorithms like Q-Learning or genetic algorithms in real-world applications. </li>
<li>Machine Learning for vision or natural language processing (NLP) </li>
</ul></span></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Location:</b></H2>
</div><div><p><p>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</p>
<p>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</p></p>
<p> </p>
<p><b>Location</b>: Shugart, Singapore<br>
<b>Travel</b>: None</p></div></div></div>