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Machine Learning Engineer - Physical AIKoh Young America Inc • San Diego, California, United States
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Machine Learning Engineer - Physical AI

Koh Young America Inc
  • US
    San Diego, California, United States
  • US
    San Diego, California, United States
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À propos

Job Description Job Description Koh Young Technology Koh Young Technology, founded in 2002 in Seoul, South Korea, is the world leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. Using patented 3D technology, Koh Young provides best-in-class products in Solder Paste Inspection(SPI) and Automated Optical Inspection(AOI) for electronics manufacturers worldwide. In addition to our headquarters in Seoul, Korea, we maintain offices in Europe (Germany), United States, Japan, Singapore and China, allowing us to have close communication with our customers and have global network of sales and services. The company invests very heavily in R&D (60% of the workforce, >10% of sales) and treasures talented team members. Koh Young has a dynamic innovative culture and strives to be at the top of the industry.
Koh Young Research America (KYA) Located in San Diego, CA, Koh Young America has been serving business partners in North America with sales and technical support since 2010. In addition to KYA’s sales and support for North America, Koh Young Research America was established in 2016 in San Diego, CA as a Research & Development hub for artificial intelligence and deep learning technologies.
Summary We are seeking an Intermediate R&D Engineer to join our team. The candidate will be part of the core group driving next-generation AI initiatives across manufacturing and industrial domains. Our team develops scalable ML/DL solutions—including predictive modeling, reinforcement learning–based optimization, and high-performance inference—to enhance production efficiency, quality, and automation. As part of our focus on Physical AI, you will help design systems that not only predict outcomes but also control and optimize real-world industrial processes. This includes developing AI-driven decision systems and internal optimization tools that interact with physical systems, enabling intelligent, adaptive, and self-improving production operations. You will collaborate closely with interdisciplinary teams across software engineering, robotics, systems engineering, and manufacturing to deploy AI solutions that directly impact production performance and operational decision-making.
Responsibilities Design, train, and evaluate advanced ML/DL architectures and apply them to real-world industrial challenges. Build and maintain end-to-end data and model pipelines, including data preprocessing, model training, evaluation, deployment, and monitoring. Develop, optimize, and deploy ML/DL models for process optimization, predictive maintenance, and quality improvement in manufacturing environments. Implement and optimize models using ONNX and C++ for scalable, low-latency, production-grade inference. Develop internal Physical AI tools, including reinforcement learning–based controllers and predictive systems, to optimize and control real-world industrial processes. Collaborate with cross-functional teams to integrate ML/DL solutions into manufacturing systems and ensure stable and reliable operation. Perform data-driven analysis and visualization to extract actionable insights and support decision-making. Continuously research and explore new technologies to advance ML/DL and Physical AI capabilities in industrial AI applications. Performs other duties as assigned.
Skills and Qualifications Master’s degree in Computer Science, Electrical Engineering, Industrial Engineering, Statistics, or a related field. Strong background in Machine Learning and Deep Learning, with hands-on experience in model development, training, and deployment. Proficiency in Python and C/C++, with familiarity in ML/DL frameworks such as PyTorch, TensorFlow, or JAX. Practical experience in one or more of the following: Development of ML/DL models for optimization, predictive analytics, or process improvement. Deployment or scaling of ML/DL systems in production environments. Analysis of manufacturing or quality data using ML/DL techniques.
Have at least one of the followings: Experience with SMT, semiconductor manufacturing, or other advanced production domains, with knowledge of domain-specific data and processes. Proficiency in deploying and optimizing models using ONNX, LibTorch, or similar frameworks. Strong analytical, problem-solving, and collaboration skills, with the ability to deliver real-world impact through ML/DL innovation. Benefits Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage) 401(k) retirement plan (Immediately 100% vested) Generous PTO and paid holidays
  • San Diego, California, United States

Compétences linguistiques

  • English
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