Keysight Technologies · 1 day ago
Machine Learning Architecture Systems- PhD Intern
Calabasas, CA
Internship
Onsite
Intern
$49.83/hr - $53.67/hrKeysight Technologies is at the forefront of technology innovation, delivering breakthroughs in various markets. They are seeking a PhD Intern in Machine Learning Architecture Systems to research and develop autonomous neural model creation and scaling, contributing to the development of adaptive architecture frameworks for AI systems.
AnalyticsCloud SecurityElectronicsManufacturingNetwork SecurityProduct DesignSoftwareTest and MeasurementWireless
No H1B
Responsibilities
Design and implement algorithms for autonomous neural architecture creation and model expansion using C++/CUDA and libtorch
Develop heuristic and meta-learning systems for automatic model scaling, parameter sizing, and connectivity optimization
Expand the existing model portfolio by implementing and benchmarking architectures such as GNNs, GCNs, GNOs, FNOs, and Transformer variants
Prototype architecture controllers capable of adjusting model topology, receptive fields, or operator depth based on real-time learning feedback
Build frameworks for autonomous model discovery and adaptation
Benchmark generated architectures for efficiency, accuracy, and generalization across simulation and measurement datasets
Collaborate with domain experts to ensure generated models remain physically consistent and interpretable
Integrate automated model generation mechanisms into the internal ML runtime, ensuring modularity, safety, and reproducibility
Qualification
Required
Current PhD student (or recently graduated PhD) in Machine Learning, Computer Science, Applied Mathematics, or Electrical/Mechanical Engineering
Strong proficiency in C++, CUDA, and libtorch (C++ PyTorch API)
Deep understanding of neural network architectures, architecture search, and optimization algorithms
Experience designing and training models such as GCNs, GNNs, GNOs, FNOs, or Transformer architectures
Proven ability to implement ML algorithms from first principles in C++, without reliance on Python front-ends
Familiarity with meta-learning, heuristic-driven search, or automated model generation frameworks
Strong analytical, mathematical, and software engineering skills focused on efficiency, reproducibility, and interpretability
Strong foundation in C++ architecture design, template metaprogramming, and HPC performance profiling
Experience with CMake, Bazel, and Git workflows for large-scale C++ projects
Ability to analyze GPU memory efficiency, kernel throughput, and asynchronous data pipelines
Understanding of data serialization, experiment tracking, and model reproducibility in C++/libtorch workflows
Passion for building autonomous, interpretable AI systems that combine mathematical rigor with software craftsmanship
Preferred
Experience with C++ deep learning toolchains (libtorch, cuDNN, TensorRT, or custom CUDA kernels)
Background in graph computation, operator learning, or scientific model compression
Familiarity with reinforcement learning, evolutionary search, or genetic programming for architecture discovery
Knowledge of physics-informed ML, surrogate modeling, or scientific AI systems
Exposure to multi-GPU, distributed training, and HPC orchestration environments
Company
Keysight Technologies
Keysight Technologies is an electronic measurement company.
Founded in 1939
10001+ employees
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
2026-01-07
2026-01-06
Company data provided by crunchbase