Bachelor's student in Computer Science, Computer Engineering, or related field
Basic skills in Python, data processing, and API development
Familiarity with ML/AI fundamentals
Qualification wording
Bachelor’s student in Computer Science, Computer Engineering, or related field.
Basic skills in Python, data processing, and API development.
Familiarity with ML/AI fundamentals.
Education & alternatives
About you:
- Bachelor’s student in Computer Science, Computer Engineering, or related field.
- Basic skills in Python, data processing, and API development.
About Seagate Technology
About our group: Since 1979, Seagate has been creating precision-engineered data storage technologies that deliver superior capacity, speed, safety, and performance.
Open 6 monthsWe first saw this posting 207 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Apr 20, 2026207 days ago
Recorded sightings
659
Last seen by us
Nov 13, 2026
Apr 20, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 207
477
Up longer than most. Similar jobs usually come down between day 4 and day 77.
Well past Seagate Technology’s usual: its jobs come down by about day 35.
From 51 similar postings that came down, and 44 of Seagate Technology’s. Coming down is not always a hire.
Seagate Technology is hiring
27 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
R
SQL
FastAPI
Matplotlib
NumPy
pandas
Plotly
PyTorch
TensorFlow
Where the posting names them
- Bachelor’s student in Computer Science, Computer Engineering, or related field.
- Basic skills in Python, data processing, and API development.
- Familiarity with ML/AI fundamentals.
Your experience includes:
- Programming Languages (Python, R, SQL, HiveQL).
- AI / Machine Learning (PyTorch, Tensorflow).
- LLM frameworks (Chainlits).
- Data Analytics (Pandas, NumPy, SQL basics).
- Data preprocessing and visualization (Matplotlib, Seaborn, Plotly).
- Support integration of AI models manufacturing data for faster insights.
- Develop basic FastAPI APIs for model inference with vision models.
- Assist with web-based inference for AI vision models.
- Data Analytics (Pandas, NumPy, SQL basics).
- Data preprocessing and visualization (Matplotlib, Seaborn, Plotly).
- Computer vision model development (YOLO11, Transfer Learning).
- Programming Languages (Python, R, SQL, HiveQL).
- AI / Machine Learning (PyTorch, Tensorflow).
- LLM frameworks (Chainlits).
About 30,000 in 2026, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as STX.
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
About our group: Since 1979, Seagate has been creating precision-engineered data storage technologies that deliver superior capacity, speed, safety, and performance. We are a diverse workforce of 40,000 creative, hard-working, passionate people all over the world Silicon Valley, the Southeast Asia, India, China, the United Kingdom, and beyond. At Seagate, we know that data is always in motion, alive, connected and we harness it to maximize human potential
The Head Analysis and Performance Group (HAPG), supporting read/write performance excellence across all products. We focus on driving yield improvement, root-cause analysis, spec optimization, and advanced analytics to ensure the highest performance and quality in slider manufacturing. Our work spans data analysis, machine learning, monitoring system development, and readiness for next-generation technologies
About the role - you will:
As an AI Intern in the Read/Write Product Performance Korat Team, you will work with Product Engineers to develop GenAI/LLM prototypes that support read/write performance analysis and faster decision-making in production. You will work with real manufacturing data, including image data and structured, column-based datasets. Key Responsibilities
Support integration of AI models manufacturing data for faster insights.
Develop basic FastAPI APIs for model inference with vision models.
Assist with web-based inference for AI vision models.
Build simple GenAI/LLM prototypes for automated reporting and anomaly explanation.
About you:
Bachelor’s student in Computer Science, Computer Engineering, or related field.
Basic skills in Python, data processing, and API development.
Familiarity with ML/AI fundamentals.
Your experience includes:
Programming Languages (Python, R, SQL, HiveQL).
AI / Machine Learning (PyTorch, Tensorflow).
LLM frameworks (Chainlits).
Data Analytics (Pandas, NumPy, SQL basics).
Data preprocessing and visualization (Matplotlib, Seaborn, Plotly).
Computer vision model development (YOLO11, Transfer Learning).
Location:
Korat, Thailand
Our Korat facility is our largest manufacturing site worldwide, Here, our team produces cloud-based storage equipment, from individual storage components to finished drives. Employees enjoy ample on-site parking, free shuttle vans and buses within the city of Korat, as well as transportation to and from Bangkok and Khon Kaen province on weekends. At work, you can grab a delicious breakfast, lunch, dinner, or snacks at one of our 24/7 on-site canteens or coffee shops. We offer table tennis, basketball, volleyball, a running/walking trail, and exercise classes in our on-site fitness center. In addition, there are relaxing spaces with comfortable seating both indoors and outdoors, perfect for taking a break during the day.
Additionally, consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate Asia’s parents and caregivers group. We also have many on-site recreation events and opportunities to give back to the local community.
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Pay
No pay amount identified in the saved description.
Location & working pattern
Nakhon Ratchasima, TH
Korat, Thailand
Our Korat facility is our largest manufacturing site worldwide, Here, our team produces cloud-based storage equipment, from individual storage components to finished drives. Employees enjoy ample on-site parking, free shuttle vans and buses within the city of Korat, as well as transportation to and from Bangkok and Khon Kaen province on weekends. At work, you can grab a delicious breakfast, lunch, dinner, or snacks at one of our 24/7 on-site canteens or coffee shops. We offer table tennis, basketball, volleyball, a running/walking trail, and exercise classes in our on-site fitness center. In addition, there are relaxing spaces with comfortable seating both indoors and outdoors, perfect for taking a break during the day.
Additionally, consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate Asia’s parents and caregivers group. We also have many on-site recreation events and opportunities to give back to the local community.
Location: Korat Thailand
Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.