Applied ML Control Engineer
About The Position
This position is part of the global ACS Control, Support, and Applications team providing control algorithms & applications development and advanced technical support for ACS motion control products.
Reports to: VP Control, Support and Applications
Primary Duties and Responsibilities:
• Stay tuned with recent advancements in ML and incorporate innovative ideas in development of state-of-the-art control technologies for ACS products
• Custom control algorithms development for ACS customers
• Work closely with high-tech equipment manufacturers in the fields of Semiconductors, Mobile Devices and Flat Panel Displays, Life Sciences, Photonics, and more
Requirements
· M.Sc.in Mechatronics/Autonomous Systems/Robotics/Mechanical Engineering/Aeronautical Engineering or similar.
· Demonstrated experience with data driven algorithmics, advantage if applied to real world time series data (like audio, accelerometer etc.).
· Solid knowledge in Control Theory.
· Solid knowledge in (at least two):
o Neural Networks Architectures (RNN/CNN/PINN),
o Hyperparameters Optimization,
o Feature Engineering,
o Optimization Methods,
o Reinforcement Learning
o Real-Time Learning/Estimation
· Programming skills (at least two): C/C++, Python, MATLAB / Simulink.
· Ability to design algorithms from scratch as well as to use open-source libraries.
· Personal skills – very high analytical skills, good communication and interaction with colleagues & customers, independence & quick learning.
· Fluent in English, both writing and speaking.
· Advantages:
o PhD in related field,
o Experience with ML infrastructure, edge deployment,
o Experience in programming DSP peripherals,
o Relevant experience in the motion control industry.