Epicareer Might not Working Properly
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Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
Visit Site here
  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
Visit Site here
  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
Visit Site here
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Jobs or company...

Machine Learning Architecture Research Engineer (Fresh Graduates Welcome)

$ 5,000 - $ 7,000 / month
Checking job availability...
Original
Simplified

Job Responsibilities

  1. Conduct research to guide AI inference chip design and optimizations.
  2. Study Low-Bit Quantization for LLM.
  3. Design and optimize AI inference chip architecture for Low-Bit LLM.
  4. Research and design novel AI inference chip architectures.
  5. Perform AI software-hardware co-optimizations.
  6. Develop and maintain tools for high-level simulation and research.
  7. Contribute to publications of papers and intellectual properties.

Job Qualification

  1. Master degree and above in Computer Science, Electrical & Electronic Engineering, or equivalent.
  2. Good understanding of AI algorithms such as LLM.
  3. Familiar with computer architecture, such as AI Accelerator, CPU, network-on-chip, memory hierarchy.
  4. Experience in programming languages such as C/C++.
  5. Strong learning capability, good communication and collaboration skills.
  6. Fresh graduates are also encouraged to apply.