Keysight Technologies

Senior Machine Learning Engineer - Engineering Intelligence Systems

Calabasas, California, USA · Senior · full-time

Sponsorship not specified$157k-$261kDetected 64 days ago

PythonC++Distributed SystemsData StructuresAlgorithmsSQLMachine LearningPyTorchPandasNumPyData AnalysisData EngineeringData ScienceAgentic AIMLOpsLangGraphStatistics5G/LTECommunicationCollaboration

About the role

We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
This effort moves beyond static model training - toward a continuous learning substrate where structured data, physics-informed features, and feedback signals refine model accuracy and generalization across complex engineering domains.
Role Overview This role sits at the intersection of machine learning, data engineering, and scientific modeling.

Responsibilities

Improve and maintain data pipelines for model ingestion, feature extraction, and structured conditioning.
Implement explainability and performance diagnostics to ensure models remain interpretable and auditable.
Collaborate with simulation, measurement, and data science teams to align ML architectures with engineering use cases.
Continuously refine and validate models using real-world data feedback from measurement systems or simulation loops.
Build robust data systems that convert engineering data into model-ready intelligence.
Develop data ingestion, transformation, and validation pipelines for structured, semi-structured, and streaming data.
Implement feedback loops where new simulation and measurement results automatically trigger data updates and retraining.
Design augmentation and normalization strategies to enhance data diversity, reduce bias, and improve model stability.
Overview Keysight is at 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.

Requirements

Hands-on experience with data preprocessing, feature engineering, and pipeline automation (Python, SQL, or equivalent).
Proficiency in PyTorch, libtorch, or similar frameworks for model development and training.
Experience implementing XAI methods for scientific or engineering models.

Nice to have

Background in scientific computing, simulation-driven modeling, or surrogate model development.
Experience with data fusion across multiple measurement or simulation sources.
Understanding of uncertainty quantification, sensitivity analysis, and confidence scoring in model evaluation.
Exposure to high-performance computing (HPC) or GPU-based model training environments.
Understanding of data base schema and SQL.
Prerequisites Strong programming proficiency in Python, with experience in C++ integration for high-performance model components.
Experience using data management and analytics tools (e.g., pandas, NumPy, Apache Arrow, SQL).
Familiarity with experiment tracking and MLOps tools (e.g., MLflow, DVC, or equivalent).

Compensation

MIN $156,740- MAX $261,230 Note: For other locations, pay ranges will vary by region This role is eligible for our Keysight Results Bonus Program US Employees may be eligible for the following

Benefits

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.
Expand machine learning models portfolio for engineering and simulation-driven applications.

Equal opportunity

Equal Opportunity Employer Keysight Technologies Inc. is an
equal opportunity employer.

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