# Machine Learning (ML) Engineer Source: https://realanalystjobs.com/job/machine-learning-ml-engineer-keysight-technologies-391f98e8 Machine Learning (ML) Engineer at Keysight Technologies, an on-site role based in Barcelona, Spain. Experience level: 5+ Years. Posted on 9 September 2026, read from Keysight Technologies' own careers page (Jibe), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Keysight Technologies](https://realanalystjobs.com/companies/keysight-technologies) - Location: Barcelona, Spain - Work mode: On-site - Posted: Sep 9, 2026 - Employment type: Full time - Experience level: 5+ Years - Source: Keysight Technologies' careers page (Jibe), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python) ## Visa sponsorship The posting does not say. Keysight Technologies had H-1B petitions approved for 84 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/keysight-technologies#h1b-record) ## About this role Overview Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture 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. We are looking for a Machine Learning (ML) Engineer to join our industry-leading data and IP management product team to build the knowledge and intelligence layers of SOS AI, our AI platform serving the intersection between Electronic Design Automation (EDA) and AI/ML workflows. Responsibilities • Design and build low-latency hybrid retrieval (lexical, vector, graph, faceted) over large, heterogeneous data for on-premises, IP-sensitive deployments. • Develop the semantic insight layer: automated tagging, domain-aware metadata, and embeddings as first-class managed assets with version provenance. • Build the EDA-aware knowledge graph as organizational memory: entity and relationship inference, ontology evolution, versioning, and temporal queries. • Implement agentic memory and outbound MCP servers exposing retrieval, graph traversal, and lineage to external agents with access controls gatekeeping and full audit. • Engineer governance so access control propagates from source data through embeddings, graph nodes, retrievals, and agent responses. • Benchmark retrieval quality, embedding models, and LLMs against EDA use cases, selecting models per task under cost and latency constraints. • Collaborate with product, EDA tool teams and customers to translate semiconductor and RF workflows into requirements. Qualifications • MS or PhD in Computer Science, Electrical Engineering, or related field • 5+ years building production ML or data-intensive systems. • Demonstrated experience building RAG and knowledge graph systems in production (a must): ingestion, indexing, and retrieval pipelines. • Hands-on expertise with LLMs: embeddings, fine-tuning, prompt and context engineering, evaluation, and open-weights models for on-prem inference. • Strong command of vector databases, graph databases, and low-latency retrieval infrastructure at scale. • Experience with agentic memory management and the Model Context Protocol (MCP) or comparable agent-grounding interfaces. • Proficiency in Python and modern ML frameworks ( PyTorch , Hugging Face, etc..), with solid software engineering and API design practices. • ML applied to semiconductor applications, especially the RF and microwave industry, is highly valued. • Familiarity with data governance, access control, and provenance in IP-sensitive or regulated environments is a plus. Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** Description from Keysight Technologies' public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-ml-engineer-keysight-technologies-391f98e8) and use Apply now there to reach the employer's application. The listing is re-checked against Keysight Technologies' careers page daily and removed when it closes. ## Keysight Technologies 7 open analyst roles on Real Analyst Jobs. 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