AWS Tech Senior Engineer
hace 9 días
Barcelona
is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Our culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. About Keysight AI Labs Keysight’s AI Labs is a global R&D group pioneering the integration of 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. 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. 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. The ideal candidate is passionate about foundational CV models, real-time performance, and uncovering rare patterns in high-dimensional data (signals, images, videos). Perform segmentation, detection, and classification on multi-modal, dynamic data Build synthetic data and augmentation pipelines to improve robustness Develop production-quality software (Python / C++ / CUDA) with CI/CD best practices Integrate ML pipelines into Keysight’s commercial products and infrastructure Publish findings and contribute to open-source projects when appropriate 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 ~ 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 ~ Experience with measurement systems, RF/waveform data, or signal-intelligence Experience interacting with customers or product-focused engineering teams ***
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