Applied ML Control Engineer

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.