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Senior ML Engineer
hace 2 semanas
Overview Keysightis on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15, employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over countries. Learn moreabout what we do. Our award-winningculture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. About Keysight AI Labs Keysight’s AI Labs is a global R&D group pioneering the integration of machine learning, generative AI into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems- from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows. About the AI Team Join Keysight's central AI Hub in the heart of Barcelona. We are expanding our newly formed AI Team.As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI. About the Role We are seeking a Senior Machine Learning Engineer specialized in Computer Vision and Anomaly Detection to design and deploy advanced ML pipelines across cloud, edge, and on-device products. You will help convert R&D breakthroughs into scalable ML features integrated into Keysight’s flagship commercial platforms. Responsibilities The ideal candidate is passionate about foundational CV models, real-time performance, and uncovering rare patterns in high-dimensional data (signals, images, videos). Design, train, and deploy state-of-the-art CV and anomaly detection models Perform segmentation, detection, and classification on multi-modal, dynamic data Build synthetic data and augmentation pipelines to improve robustness Optimize models for real-time inference on edge/embedded systems Develop production-quality software (Python / C++ / CUDA) with CI/CD best practices Integrate ML pipelines into Keysight’s commercial products and infrastructure Collaborate with domain experts to translate physical constraints into ML solutions Monitor CV/AD research, evaluate emerging foundational models, and introduce new methods Contribute IP, patents, and knowledge-sharing initiatives Publish findings and contribute to open-source projects when appropriate Qualifications Required Qualifications MSc or PhD in Computer Science, Electrical Engineering, Applied Math, Scientific Computing, or related field 5+ years in CV model development and production deployment Strong expertise in PyTorch (preferred), TensorFlow, Scikit-learn, OpenCV Hands-on experience with CNNs, ViTs, VAEs, and attention architectures Solid understanding of ML fundamentals: optimization, statistics, evaluation Experience with real-time inference and model acceleration for edge devices Familiarity with model monitoring and MLOps (MLflow, W&B, Ray) Experience with Docker/Kubernetes, and major cloud platforms (Azure/AWS/GCP) Excellent communication in English and cross-functional collaboration skills Ability to deliver under ambiguity and drive novel architecture innovation Desired Qualifications Wireless communication background (e.g., RRC, NAS, PHY signal behavior) Experience with measurement systems, RF/waveform data, or signal-intelligence Contributions to research papers or popular open-source ML frameworks Experience interacting with customers or product-focused engineering teams Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
