Keysight Technologies · 2 weeks ago
Senior Machine Learning Engineer – Engineering Intelligence Systems
Calabasas, CA
Full-time
Onsite
Senior Level
$157K/yr - $261K/yr
5+ years expKeysight Technologies is at the forefront of technology innovation, delivering breakthroughs in electronic design and optimization. They are seeking a Senior Machine Learning Engineer to develop model intelligence and feedback infrastructure that enhances engineering models through machine learning and data engineering techniques.
AnalyticsCloud SecurityElectronicsManufacturingNetwork SecurityProduct DesignSoftwareTest and MeasurementWireless
Responsibilities
Design and train ML models that capture engineering behaviors and physics-based relationships
Develop predictive and surrogate models using experimental, simulation, and sensor data
Design feature representations and conditioning schemas that encode physical parameters, system constraints, and test configurations
Implement model pipelines capable of adapting to new devices, topologies, or domains with minimal retraining
Collaborate with domain engineers to align ML model design with real-world measurement, calibration, and test semantics
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
Ensure traceable data versioning and reproducibility, including detailed lineage and metadata tracking
Integrate Explainable AI (XAI) methods (e.g., SHAP, LIME, attention visualization, or gradient attribution) into model training and validation workflows
Develop diagnostic analytics dashboards to interpret model performance, bias, drift, and physical consistency
Create data and model introspection tools that allow engineers to inspect how features influence predictions
Establish confidence scoring and anomaly detection frameworks for model validation and trust in production applications
Expand machine learning models portfolio for engineering and simulation-driven applications
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
Qualification
Required
PhD or 5+ years of experience in machine learning, applied data science, computational modeling, or related technical fields
Strong foundation in computer science fundamentals (data structures, algorithms, and distributed systems) and their application to ML systems
Proven experience developing neural or hybrid ML models for engineering, physics, or signal-processing domains
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
Preferred
Background in scientific computing, simulation-driven modeling, or surrogate model development
Familiarity with hybrid physical-statistical modeling techniques
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
Benefits
Medical, dental and vision
Health Savings Account
Health Care and Dependent Care Flexible Spending Accounts
Life, Accident, Disability insurance
Business Travel Accident and Business Travel Health
401(k) Plan
Flexible Time Off, Paid Holidays
Paid Family Leave
Discounts, Perks
Tuition Reimbursement
Adoption Assistance
ESPP (Employee Stock Purchase Plan)
Restricted Stock Units
Company
Keysight Technologies
Keysight Technologies is an electronic measurement company.
10001+ employees
H1B Sponsorship
Keysight Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (83)
2024 (67)
2023 (122)
2022 (110)
2021 (93)
2020 (113)
Funding
Current Stage
Public CompanyTotal Funding
$1.35BKey Investors
Department for Science, Innovation and Technology (DSIT)
2025-04-10Post Ipo Debt· $750M
2024-10-02Post Ipo Debt· $600M
2023-09-15Grant
Leadership Team
Satish Dhanasekaran
President and Chief Executive Officer
B
Brad Doerr
Vice President and General Manager
Recent News
2026-01-11
2026-01-07
Company data provided by crunchbase