Applied ML Control Engineer
About The Position
As a member of the ACS Control Team, this role contributes to the development of next-generation control algorithms and engineering tools, while also supporting customers with deep technical expertise across ACS motion control solutions.
Reports to: CTO
Primary Duties and Responsibilities
· Stay current with advancements in AI/ML and incorporate relevant innovations into the development of state-of-the-art control technologies for ACS products.
· Design, develop, and validate AI/ML-based control algorithms to enhance the performance, robustness, and intelligence of ACS motion control platforms.
· Collaborate closely with leading high-tech equipment manufacturers in the Semiconductor, Mobile Device, Flat Panel Display, Life Sciences, and Photonics industries to define requirements and tailor solutions.
· Deliver technical training, seminars, and presentations to customers, partners, and internal teams, demonstrating advanced control concepts and AI/ML capabilities.
· Author high-quality technical materials including white papers, application notes, tutorials, and instructional videos to support customer adoption and knowledge sharing.
Requirements
· M.Sc.in Mechatronics/Autonomous Systems/Robotics/Mechanical Engineering/Aeronautical Engineering, or a closely related discipline.
· Proven experience in data-driven algorithm development, with an advantage for experience on real-world time-series data.
· Strong foundation in Control Theory
· Solid knowledge in at least two of the following areas:
o Neural Networks Architectures (RNN/CNN/PINN),
o Hyperparameters Optimization,
o Feature Engineering,
o Optimization Methods,
o Reinforcement Learning
o Real-Time Learning/Estimation
· Proficiency in at least two programming environments: C/C++, Python, MATLAB / Simulink.
· Ability to design algorithms from the ground up, as well as effectively utilize modern open-source ML and control libraries.
· Strong analytical and problem-solving skills, excellent communication abilities, effective collaboration with colleagues and customers, independence, and rapid learning capability.
· Fluent in English, both written and spoken.
· 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.