Keysight Technologies
Senior Machine Learning Engineer - Engineering Intelligence Systems
Calabasas, California, USA · Senior · full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$4,897 more — $161,637 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $161,637 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Los Angeles-Long Beach-Anaheim, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 48%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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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.
- Overview Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization.
- About the Initiative Keysight's Applied AI Autonomy Initiative is developing a next-generation agentic orchestration framework that enables AI agents to reason, adapt, and coordinate across complex engineering workflows.
- Built on LangGraph and reinforcement-inspired feedback mechanisms, this framework transforms prompts and design intents into executable orchestration strategies that evolve autonomously through iterative simulation and validation loops.
- Our ambition is not merely to replicate human reasoning, but to push past human limits - enabling agentic systems to explore design spaces, optimize engineering workflows, and evolve orchestration strategies at a scale and speed no human could achieve.
- Design and train ML models that capture engineering behaviors and physics-based relationships.
- Develop predictive and surrogate models using experimental, simulation, and sensor data.
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
- 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.
Benefits
- Expand machine learning models portfolio for engineering and simulation-driven applications.
- 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.
Equal opportunity
- Equal Opportunity Employer Keysight Technologies Inc. is an
- equal opportunity employer.
This listing is sourced directly from Keysight Technologies's careers page and normalized into a canonical job model.