ML Intern - Anomaly Detection

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. 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.

• Partner with NPI, product engineering, and RF measurement teams to define anomaly signatures, measurement quality metrics, and optimization objectives.
• Design and implement anomaly detection models:
  Vision Models (CNNs, ViTs) for spectrogram/field‑based detection, Transformers for sequential measurement data, and unsupervised/semi‑supervised methods (autoencoders, normalizing flows, contrastive learning) for out‑of‑distribution detection.
• Apply Bayesian and GP optimization for adaptive test sequencing, measurement coverage optimization, and test time reduction.
• Build generative models (GANs, Diffusion, VAEs) for anomaly data augmentation in low‑shot NPI environments.
• Develop scalable ML pipelines for streaming measurement data with real‑time inference for automated flagging and root‑cause attribution.
• Benchmark anomaly detection models against ground‑truth NPI characterization datasets for precision, recall, and false‑alarm rate.

Required Qualifications

• Pursuing PhD in EE, Applied Math, CS, or related field.
• Hands‑on experience with anomaly detection: unsupervised ML, autoencoders, normalizing flows, or contrastive/self‑supervised learning.
• Strong background in Vision Models, Transformers, or GNNs applied to measurement, signal processing, or hardware data.
• Experience with generative models (GANs, VAEs, Diffusion) for low‑data‑regime augmentation.
• Background in Bayesian optimization or SPC for measurement or test optimization.
• Proficiency in Python, C++, CUDA; HPC/cloud training experience.

Desired Qualifications

• Experience applying anomaly detection to RF/microwave measurements, semiconductor test, or EDA data.
• Background in DoE, measurement uncertainty analysis, or test coverage optimization.
• Familiarity with Keysight measurement platforms or simulation tools (ADS, RFPro, EMPro).
• Publications or patents in anomaly detection, measurement ML, or NPI optimization.

Candidates who wish to be considered must be enrolled in an accredited college/university as of September 2026. Applicants who have graduated before September 2026 will not be considered unless they are entering/applying to a MS or PhD program after graduating.

Visa Sponsorship is not available for this position. Candidates who now or at any point in the future require sponsorship for employment visa status (e.g., H‑1B Visa status) may not be considered.

California Pay Range: $60.82‑$65.50 per hour

Based on experience, education and skills, most offers will be between the minimum and the midpoint of the Salary Range listed above.

Note:

For other locations, pay ranges will vary by region.

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*** Keysight is an Equal Opportunity Employer.***