Machine Learning - PhD Intern (Dynamic I/O Schemas for Neural Models)Keysight Technologies • United States
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Machine Learning - PhD Intern (Dynamic I/O Schemas for Neural Models)
Keysight Technologies
- United States
- United States
Über
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.
About the Program
Keysight's
Applied AI Research
group is developing
adaptive neural modeling frameworks
that enable AI systems to evolve across changing simulation, measurement, and experimental conditions. A central challenge is to design neural models that can
dynamically adapt their input and output structures -adding or removing signals, channels, or targets-without full retraining or costly reconfiguration.
This internship focuses on building
dynamic I/O schema mechanisms
for neural networks implemented in
libtorch (C++ API for PyTorch) . Your work will enable AI models to flexibly adapt to new use cases, reduce retraining time, and lower compute costs while improving scalability and reusability across Keysight's engineering AI ecosystem.
Role Overview
As a
PhD Intern in Machine Learning Systems , you will design and prototype
runtime-adaptive neural models
capable of modifying their input/output schemas dynamically. You will explore how
libtorch-based architectures
can adjust tensor structures, model heads, and data mappings without full reinitialization-enabling
schema-aware, modular AI models .
You'll collaborate with machine learning, runtime, and simulation experts to integrate these mechanisms into Keysight's AI modeling stack, driving more efficient, versatile, and future-proof model workflows.
What This Internship Offers A research opportunity to develop
next-generation adaptive neural architectures
in
C++/libtorch . Mentorship from experts in
AI runtime systems ,
model architecture design , and
computational modeling . Direct impact on improving
AI model adaptability , reducing
retraining costs , and enabling
modular reusability . A
portfolio-defining PhD project
at the intersection of
deep learning architecture ,
runtime engineering , and
systems optimization . Responsibilities
Key Responsibilities
Design and implement
dynamic I/O schema functionality in
libtorch-based architectures , supporting runtime addition or removal of inputs and outputs. Develop modular components
that maintain consistent state and gradient flow across evolving input/output configurations. Create schema translation and mapping utilities
to maintain backward compatibility and incremental fine-tuning. Integrate schema management
into training, checkpointing, and inference workflows. Benchmark adaptability and retraining efficiency , quantifying improvements in compute utilization and convergence time. Collaborate with runtime engineers
to ensure performance, memory stability, and model safety under dynamic schema changes. Document and publish
experimental results and architecture designs for internal and research dissemination. Learning Outcomes
Gain hands-on experience building
dynamic, modular AI models
in
C++ using libtorch . Learn advanced techniques for
schema evolution, runtime adaptation , and
incremental retraining . Explore strategies for balancing
architectural flexibility
with
numerical stability and performance . Collaborate within a multidisciplinary research team spanning ML, data systems, and simulation modeling. Qualifications
Required Qualifications
Current PhD student
(or recently graduated PhD) in
Machine Learning, Computer Science, Applied Mathematics , or
Electrical/Mechanical Engineering . Strong proficiency in
C/C++
and
libtorch (C++ PyTorch API)
for neural network implementation. Understanding of
dynamic computation graphs ,
model serialization , and
runtime configuration management . Experience designing or training
modular neural architectures
or
runtime-adaptive ML systems . Familiarity with
schema evolution, metadata management , or
flexible I/O processing . Strong analytical and software engineering skills with attention to
efficiency, safety, and reusability . Experience designing and training
GNN and GCN
neural architectures . Preferred Qualifications
Experience with
dynamic-shape models
using
TorchScript, TensorRT , or
ONNX Runtime . Background in
graph- or operator-based architectures
that support variable topologies. Understanding of
parameter-efficient fine-tuning (PEFT) ,
adapter layers , or
meta-learning strategies . Experience profiling or optimizing
GPU-based C++ inference and training
pipelines. Prerequisites
Strong experience in
C++/CUDA
development using
libtorch
and modern CMake workflows. Familiarity with
multi-threading, async I/O , and
memory management
for high-performance ML applications. Knowledge of
data marshaling, tensor allocation , and
layout optimization
in C++. Competence with
version control (Git) ,
profilers , and
testing frameworks . Commitment to creating
robust, extensible systems
that make neural modeling more adaptive and efficient.
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
Keysight Internship Program Requirements
Candidates who wish to be considered must be enrolled in a 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: MIN $49.83 -$53.67 /hour
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
Sprachkenntnisse
- English
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