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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Semiconductor Data Science and Machine Learning Engineer - **Company:** Keysight Technologies - **Location:** Santa Rosa, CA, United States - **Experience:** Experienced - **Salary:** $126,930.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, C Sharp (Programming Language), C++ (Programming Language), Computer Programming, Databases, Extract Transform Load (ETL), Software Debugging, Python (Programming Language), Machine Learning, Performance Tuning, Cloud Services, Azure Machine Learning, Signal Processing, SQL Databases, Workflow Management Systems, Large Language Models, Deep Learning, AI Platforms, Information Technology, Real Time Data, Machine Learning Operations, Data Pipelines, Unsupervised Learning - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/335b4ae7-ad50-43ef-8e7b-68c302c095b9 ## About the Role + Bachelor's, Master's, or Ph.D. in Data Science, Electrical Engineering, Computer Science, Materials Science, Applied Physics, or related fields. + Strong programming experience in Python and at least one additional language (e.g., C++, C#, Java/JS) + 3-4 years experience working with data pipelines, ETL/ELT processes, and database systems (SQL) + Hands-on experience with: o Supervised and unsupervised learning techniques o Deep learning architectures (e.g., CNNs, Vision Transformers, or equivalent) o Experience working with high-dimensional data (image, signal, or large-scale structured datasets) o Familiarity with model development lifecycle (data prep, training, validation, deployment concepts) o Experience contributing to production systems or deployed applications (debugging, maintenance, iteration) Preferred Qualifications + Direct experience with Semiconductor processes, process engineering/development and associated data + Familiarity with advanced representation learning (transformers, contrastive/self-supervised learning) + Exposure to multi-domain signal processing (spatial, spectral, temporal analysis) + Experience with real-time or near-real-time data/ML systems + Experience with cloud-native data and AI platforms (including ML platforms and workflow orchestration) + Familiarity with foundation model services / LLM platforms (e.g., AWS Bedrock or equivalent) ## Description We are seeking a Semiconductor Data Science & Machine Learning Engineer to contribute to the development and operationalization of data and AI systems supporting advanced analytics and automation. This role is hands-on across data, software, and machine learning systems, with a strong emphasis on working with and enhancing existing production workflows all within the context of semiconductor integrated circuit fabrication., * Provide production support for deployed data pipelines and ML systems, including monitoring, debugging, and issue resolution * Implement and maintain data pipelines and workflow components across ingestion, processing, and delivery * Develop and deploy machine learning models and inference pipelines within established systems * Contribute to system enhancements and performance optimization across data and ML workflows * Support integration of ML services into production environments (APIs, batch systems, internal platforms) * Participate in technical problem-solving and design discussions within existing architectural frameworks ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [This App Reached 10,000 Users in One Week. 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