Jobs in the United States

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Added 3 mins ago
Maintenance Technician - Night Shift
Niagara Bottling, LLC
Shelby Township, MI
Maintenance Technician works directly with machine Operators, Supervisors, Preventative Maintenance
Added 3 mins ago
Injection Operator Lead
Niagara Bottling, LLC
Kansas City, MO
Injection Operator Lead performs a variety of tasks requiring knowledge of injection processes. Responsible for day-to-day operations associated with an array of PET and HDPE injection…
Added 4 mins ago
Packer - Third Shift
UTZ Brands, Inc
Goodyear, AZ
Inspects packaged items and alerts Machine Operator or Shift Supervisor of any problems.
Added 5 mins ago
SO
Highway Maintenance Worker II- Medium Equipment Operator (61035231)
State of South Carolina
Florence, SC
- $44,720 to $60,690 USD / year
…materials to and from job sites. Operates the AMZ patching machine which is used for paving, patching repairs to base and pavement on roads, driveways, crossovers, turn lanes, parking…
Added 5 mins ago
SO
Highway Maintenance Worker II - Medium Equipment Operator (61032644)
State of South Carolina
Florence, SC
- $44,720 to $60,690 USD / year
Operates medium equipment such as a tandem dump truck. Operates the AMZ patching machine which is used for paving, patching repairs to base and pavement on roads, driveways, crossovers,…
Added 5 mins ago
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Manufacturing Machine Operator
Spherion
Irwin, PA
- $18 to $22 USD / hour
Spherion Greensburg is working to fill a 645am-315pm Mon.-Fri., Machine Operator dealing with chemicals position in Irwin, PA. The pay rate is $18.00 to $22.00 HOURLY. This is a Temp to…
Added 5 mins ago
S
Manufacturing Machine Operator
Spherion
Irwin, PA
- $18 to $22 USD / hour
Spherion Greensburg is working to fill a 645am-315pm Mon.-Fri., Machine Operator dealing with chemicals position in Irwin, PA. The pay rate is $18.00 to $22.00 HOURLY. This is a Temp to…
Added 5 mins ago
Machine Operator
AMERITEX PIPE & PRODUCTS LLC
Conroe, TX
Experience as a machine operator with PLC capabilities preferred but not required.
Added 5 mins ago
CB
Glass Extruder Operator
Cornerstone Building Brands
Rocky Mount, VA
- $17 USD / hour
Extruder operator is responsible for folding spacer frames and hanging them in order for the next portion of the window insulation process. Operator must be good with reading and following…
Added 6 mins ago
RD
Folder Operator
RR Donnelley
West Bend, WI
- $21 to $26.26 USD / hour
Make needed adjustments to coordinate the multiple work stations on a single machine
Added 6 mins ago
RD
Die Cutter Operator 1st Shift
RR Donnelley
Cudahy, WI
- $20 to $26 USD / hour
Make needed adjustments to coordinate the multiple work stations on a single machine
Added 6 mins ago
RD
Die Cutter Operator 2nd Shift
RR Donnelley
Cudahy, WI
- $20 to $26 USD / hour
Make needed adjustments to coordinate the multiple work stations on a single machine
Added 8 mins ago
Press Operator - 2nd Shift- 2:30pm-10:30pm
Innomark Communications
Richmond, IN
Conduct regular maintenance, troubleshooting, and corrective action on equipment to achieve maximum machine performance based on equipment specifications and acquired knowledge of machine…
Added 8 mins ago
Machine Operator
Viant Medical
Wheeling, IL
Added 8 mins ago
KS
Premold Shooter / Bagger Operator / General Labor
Kelly Services
Brighton, MI
- $19.8 USD / hour
Two years of machine-operation experience preferred, but not required.
Added 8 mins ago
KS
Premold Shooter / Bagger Operator / General Labor
Kelly Services
Brighton, MI
- $19 USD / hour
Two years of machine-operation experience preferred, but not required.
Added 9 mins ago
CO
Vactor Operator- Stormwater
City of Myrtle Beach
Myrtle Beach, SC
- $49,732.8 USD / year
Uses a variety of hand and power tools and equipment to perform assigned duties, including easement machine, push camera, root and tap cutter, two-way radio, confined space equipment, line…
Added 9 mins ago
Machine Learning - PhD Intern (Modeling and Data Analysis)
Keysight Technologies, Inc.
Calabasas, CA · Santa Rosa, CA
Experience with surrogate modeling, operator learning, physics-informed machine learning, or scientific machine learning generally.
Added 9 mins ago
AP
Die Cutter Operator | $19.00–$22.00/hr | 1st Shift | Monday–Friday | Cincinnati, OH | Start ASAP!
AtWork Personnel
Cincinnati, OH
- $19 to $22 USD / hour
We are seeking an experienced Die Cutter Operator to set up and operate industrial die-cutting equipment in a commercial printing and manufacturing environment. This position is responsible…
Added 9 mins ago
E
Machine Operator
EJ
Phoenix, NY
- $24.5 to $25.5 USD / hour
EJ has an immediate opening for a Machine Operator on our second shift (Monday – Friday, 3:30 PM to Midnight), salary - $24.50 - $25.50 per hour depending on experience.
Added 12 mins ago
HI
CNC Waterjet Operator
Hubbell Incorporated
Carson, CA
- $19.25 to $24 USD / hour
The CNC Waterjet Operator is responsible for the safe and efficient operation of CNC waterjet cutting equipment to shape cut various materials with accuracy and efficiency. Pay Rate: $19.25…
Added 12 mins ago
A
Manufacturing Operator - 2nd Shift
Aerotek
Winchester, VA
- $20.9 USD / hour
…helping ensure food safety. In this 2nd shift Manufacturing Operator role, you work in a production environment that supports the manufacturing of agar products used in diagnostic and…
Added 12 mins ago
Tub Seaming Line Manufacturing Operator-2nd Shift
Electrolux Consumer Products, Inc
United States
The Tub Seaming Line Operator – Level 5 is a senior-level production role responsible for operating, monitoring, and optimizing tub seaming line manufacturing equipment to ensure safe,…
Added 12 mins ago
Backhoe Operator
American Track
Salt Lake City, UT
North American Rail Solutions (NARS) is seeking a skilled Backhoe Operator to perform essential earthwork for railroad construction and maintenance projects. This hourly craft position also…
Added 12 mins ago
Manufacturing Night Shift Supervisor
BARSPLICE PRODUCTS INC
Dayton, OH
…This could be the perfect next step for an experienced CNC operator or machine operator who is ready to move into leadership, or for an experienced supervisor looking for a new opportunity…

Keysight Technologies, Inc.

Machine Learning - PhD Intern (Modeling and Data Analysis)

Calabasas, CA, United States
Santa Rosa, CA, United States

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Job details

Apply by: Nov 6, 2027
Posting language: English
Posted: Nov 6, 2026

Original job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 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 AI team builds adaptive engineering intelligence systems where measurement, simulation, and machine learning converge - models that learn from complex physical data and adapt to new design and testing conditions. This internship focuses on machine learning surrogate models for engineering simulation and measurement. High-fidelity simulations and physical measurements can dominate the design and test loop for RF, high-speed, and other engineering problems, and their cost limits how much of a design space an engineer can explore. You will develop models that predict engineering responses at a fraction of the cost, investigate how such models can be adapted efficiently as the design problem changes, and integrate the result into an engineering ML runtime environment. Role Overview You will design, train, and evaluate neural surrogate models that predict engineering responses from simulation or measurement data far faster than repeated high-fidelity simulation or physical characterization. This spans the full arc of the problem: generating or assembling the data, choosing and evaluating model architectures and output representations, establishing where accuracy holds and where it degrades, and quantifying the result against a realistic simulation or measurement budget. In the second phase you will study how a trained model can be specialized efficiently when the design problem shifts, using LoRA and related parameter-efficient adaptation methods. You will work alongside AI researchers, simulation and measurement experts, RF designers, and runtime engineers. Learning Outcomes

Apply modern machine learning to realistic engineering simulation and measurement data.
Learn how surrogate model accuracy depends on data quality, sampling strategy, representation choices, and simulation budget.
Develop practical experience with parameter-efficient adaptation methods such as LoRA under data-scarce engineering conditions.
Build fluency with uncertainty estimation, physical consistency checks, and engineering-relevant error analysis.
Take a research model from Python experimentation toward robust C++ and LibTorch integration.
Collaborate across machine learning, RF design, simulation, measurement, and runtime engineering disciplines.

Responsibilities

Generate parametric engineering datasets using simulation and/or measurement sources, with attention to sampling strategy and to numerical noise in the underlying data.
Design, train, and evaluate neural surrogate models for engineering response prediction.
Investigate how the choice of output representation affects accuracy, particularly across operating regions or frequency ranges where the response varies sharply.
Establish rigorous baselines and quantify accuracy as a function of simulation or measurement budget.
Evaluate LoRA and related parameter-efficient methods for specializing trained models to new problem settings, against full and partial fine-tuning.
Develop calibrated uncertainty estimates so that predictions can be trusted or deferred appropriately.
Verify physical consistency and engineering constraints - including passivity, causality, and reciprocity where applicable - and report engineering-relevant metrics including worst-case behavior.
Analyze the simulation corpus and model behavior: parameter sensitivity, response dimensionality, data quality and solver noise, and where prediction error concentrates across frequency and design space.
Prototype model training and inference integration in C++ and LibTorch within an engineering ML runtime environment.

Qualifications

Required Qualifications

Currently pursuing or recently completed a PhD in Machine Learning, Computer Science, Applied Mathematics, Electrical or Electronic Engineering, or a related technical field.
Hands-on experience across multiple neural architectures - transformers, neural operators, graph networks, CNNs - and sound judgment about which suits a given problem.
Strong Python and PyTorch, with experience training and debugging neural networks well beyond tutorial scale.
Strong C++ and hands-on LibTorch experience to implement and integrate models into a production runtime.
Solid grasp of transfer learning, fine-tuning, and parameter-efficient methods such as LoRA.
Strong applied statistics and exploratory data analysis, including sensitivity analysis and dimensionality reduction, and the judgment to diagnose a model from its errors rather than its aggregate score.
Experimental discipline: rigorous baselines, careful ablations, experiment tracking, reproducible results.
Willingness to learn the underlying physics rather than treat it as arbitrary numerical data. Mentorship will be provided.

Preferred Qualifications

Background in RF, microwave, high-speed digital, or test and measurement engineering; familiarity with S-parameters, filters, or interconnect.
Experience with EM simulation tools and their scripting interfaces, such as Keysight ADS, RFPro, Momentum, or comparable tools, or engineering measurement and test automation environments.
Experience with surrogate modeling, operator learning, physics-informed machine learning, or scientific machine learning generally.
Experience with uncertainty quantification, conformal prediction, or Gaussian process regression.
CUDA, cuDNN, or TensorRT experience, or prior experience shipping a research model in C++.

Prerequisites

Version control, modular code structure, and reproducible experiment pipelines.
CMake and Git workflows for sizeable C++ projects, and comfort profiling and debugging C++ code.
Ability to design an evaluation that answers a question rather than one that produces a favorable number.
Clear technical communication to both machine learning researchers and engineering stakeholders.

What This Internship Offers

Apply modern machine learning to physical engineering data in an industrial setting.
Learn parameter-efficient adaptation and transfer learning under severe data scarcity.
Develop working fluency in RF and high-speed concepts, measurement data, and simulation workflows.
Take a research model the full distance, from Python prototype to robust C++.
The opportunity to shape how machine learning accelerates engineering design and test at a company that builds both the simulators and the instruments that validate them.
Mentorship across machine learning, simulation, measurement, and RF design, with access to engineering tools and realistic engineering datasets.
A portfolio-defining project spanning scientific machine learning, efficient model adaptation, and real-world engineering applications.

CA Pay Range:

(PhD) $51-$56

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.

Candidates who wish to be considered must be enrolled in an accredited college/university as of September 2027.

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

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More about this job

Skills

Machine learning
Data analysis
Estimating
Research
Python
C++
ML
Computer science
PyTorch
Debugging
Statistics
Test automation
CMake
Git
Communication skills

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