Applied ML Control Engineer (6102)

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.

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.

CV- cv+6102@hrhome.co.il