Job Description

We are looking for Machine Learning/Deep Learning engineers.

This is a technical role, and it requires a high willingness to learn state-of-the-art AI techniques and a skill to apply AI techniques to business applications/processes.

This job opening encompasses a wide range of end-to-end ML pipeline activities, including framing AI problems, data collection/preprocess/exploration, model development/evaluation, model deployment/monitor.

Our major responsibilities include (1) landing AI in real world (2) publication at top conference/journal (DAC, IEEE/TCAD, ICLR, ICML…).

Here, you will be working in a fast-paced and agile environment which needs a mindset of a startup.

Together with worldwide colleagues you will deliver everything from state-of-the-art algorithms to quicker value proving solutions.

Requirement

Qualification

• This position requires a MS or PhD
• This position involves a lot of personal interaction. Good verbal communication skills are required.
• Familiarity with Deep Learning Framework (Pytorch or Tensorflow) and Machine Learning.
• Familiarity with organizing large real-world datasets.
• Experience with DRL, GNN, GAN…etc.
• Ability to read/comprehend state-of-the-art AI papers (e.g. GNN, RL…).
  
  

Bonus Points

• Experience in scientific and numerical programming in C/C++/Python.
• Experience in IC Design Flow (RTL, HLS, DV, P&R…).
• Experience with Kaggle competitions. (Gold/Silver medals awarded)
• Experience in Parallel and Distributed Deep Learning with multi-GPU & multi-machine.