ZipRecruiter

Log In

1

Machine Learning Testing Jobs in New Jersey (NOW HIRING)

Compunnel

ML Engineer

Jersey City, NJ · On-site

Build and deploy APIs and services to serve machine learning models * Optimize model inference for speed, scalability, and efficiency * Develop automated pipelines for model training, testing, and ...

Talentrupt

Data Scientist

Newark, NJ

Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models ...

Purple Drive Technologies

ML Engineer

Newark, NJ · On-site

Machine Learning Engineer As a Machine Learning Engineer, you will play a pivotal role in driving ... testing etc. • Experience managing relationships in a cross-functional environment with multiple ...

Kasmo Inc.

Data Scientist (W2 Only)

Camden, NJ

... machine learning and statistical techniques including supervised/unsupervised learning, deep learning, NLP, computer vision, regression models, ensemble methods, and experimental design (A/B testing ...

Deloitte

AI Data Engineer - Manager

Morristown, NJ · On-site

... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...

Technogen, Inc.

Data Scientist

Camden, NJ · Hybrid

... machine learning and statistical techniques including supervised/unsupervised learning, deep learning, NLP, computer vision, regression models, ensemble methods, and experimental design (A/B testing)

Deloitte

AI Data Engineer Manager

Morristown, NJ · On-site

... machine learning models and large language models. • Conduct research to provide technical ... testing, and deployment methodology based on business and security requirements. • Work closely ...

JSR Tech Consulting

Data Scientist

Newark, NJ

Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models • Data Acquisition and Transformation: Acquiring data ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Testing JobsMachine Learning Testing Jobs in New Jersey

Machine Learning Testing information

See New Jersey salary details

$14

$23

$31

How much do machine learning testing jobs pay per hour?

As of May 30, 2026, the average hourly pay for machine learning testing in New Jersey is $23.17, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $25.87 per hour, depending on experience, location, and employer.

What is a Machine Learning Testing job?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

What are the key skills and qualifications needed to thrive in the Machine Learning Testing position, and why are they important?

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

What are the typical challenges faced by professionals in Machine Learning Testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.
More about Machine Learning Testing jobs
What are popular job titles related to Machine Learning Testing jobs in New Jersey? For Machine Learning Testing jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Machine Learning Testing jobs in New Jersey look for? The top searched job categories for Machine Learning Testing jobs in New Jersey are:
What cities in New Jersey are hiring for Machine Learning Testing jobs? Cities in New Jersey with the most Machine Learning Testing job openings:
Machine Learning Testing jobs near you
Infographic showing various Machine Learning Testing job openings in New Jersey as of May 2026, with employment types broken down into 3% As Needed, 85% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $48,191 per year, or $23.2 per hour.
Senior Machine Learning Engineer - LLMs & Agentic AI

Senior Machine Learning Engineer - LLMs & Agentic AI

Keysight Technologies, Inc.

Harrisonville, NJ

$103.80K - $142.60K/yr

Other

Posted 27 days ago

Keysight Technologies rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

66th of 137 rated electronics manufacturers

Job description

Overview
Keysightis on 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 moreabout what we do. 
 
Our award-winningculture 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 Keysight AI Labs

Keysight’s AI Labs is a global R&D group pioneering the integration of machine learning, generative AI into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems- from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows.

About the AI Team 

Join Keysight's central AI Hub in the heart of Barcelona. We are expanding our newly formed AI Team. As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI.

About the Role

We are looking for a Machine Learning Engineer (senior level preferred) to develop and productize advanced LLM-based, agentic, and generative AI pipelines.
You’ll design scalable architectures that integrate AI into Keysight’s software and hardware platforms, enabling intelligent workflows, root-cause analysis, automated scripting, anomaly detection, and adaptive decision-making.

This role blends research, engineering, and applied productization, ideal for those who enjoy turning cutting-edge ML concepts into deployable real-world solutions.


Responsibilities
  • Collaborate with Keysight domain experts (RF, 6G-wireless, EM, circuit, and measurement) to gather requirements, physical constraints, and workflow insights for ML pipeline design.
  • Design and implement SOTA ML architectures including LLMs, agentic systems, GANs, diffusion models, and RAG pipelines for data augmentation, anomaly detection, modeling, and automation.
  • Develop scalable ML pipelines for on-device, on-prem, cloud, and hybrid GPU environments, ensuring efficiency, reliability, and scalability.
  • Write production-grade Python, C++, and CUDA code following best practices (testing, CI/CD, documentation, performance profiling).
  • Collaborate with product teams to integrate ML-driven features into Keysight’s commercial products.
  • Continuously explore and apply new research in LLMs, agentic reasoning, multimodal AI, and generative architectures to enhance Keysight’s capabilities.

Qualifications

Required Qualifications

  • Education: Master’s or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.

  • Strong ML/DL foundations: solid understanding of neural architectures, optimization, and evaluation metrics.

  • Hands-on experience with PyTorch (preferred) or TensorFlow.

  • Proven expertise building or fine-tuning transformer architectures (GPT, T5, LLaMA, etc.).

  • Experience with LLM fine-tuning, instruction tuning, RLHF, PPO/DPO, or similar adaptation techniques.

  • Strong coding skills in Python and familiarity with CI/CD, testing, Git versioning, and containerization (Docker/Kubernetes).

  • Experience with data pipelines (tokenization, preprocessing, large text corpora).

  • Experience with MLOps tools (MLflow, Weights & Biases, Ray).

  • Experience with agentic workflows, RAG systems, or multimodal (text, code, signal) applications.

  • Excellent communication and teamwork skills; comfortable working in cross-functional R&D environments.

Desired Qualifications

  • Familiarity with cloud environments (Azure, AWS, or GCP).

  • Experience optimizing models for edge or embedded environments.

  • Knowledge of model compression, quantization, or inference optimization.

  • Research literacy and the ability to read, reproduce, and extend SOTA papers.

  • Open-source contributions or public ML repositories are a strong plus.

  • Prior experience with Keysight software, test and measurement workflows, or domain-specific modeling is highly valued.

  •  

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

Qualifications:

Required Qualifications

  • Education: Master’s or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.

  • Strong ML/DL foundations: solid understanding of neural architectures, optimization, and evaluation metrics.

  • Hands-on experience with PyTorch (preferred) or TensorFlow.

  • Proven expertise building or fine-tuning transformer architectures (GPT, T5, LLaMA, etc.).

  • Experience with LLM fine-tuning, instruction tuning, RLHF, PPO/DPO, or similar adaptation techniques.

  • Strong coding skills in Python and familiarity with CI/CD, testing, Git versioning, and containerization (Docker/Kubernetes).

  • Experience with data pipelines (tokenization, preprocessing, large text corpora).

  • Experience with MLOps tools (MLflow, Weights & Biases, Ray).

  • Experience with agentic workflows, RAG systems, or multimodal (text, code, signal) applications.

  • Excellent communication and teamwork skills; comfortable working in cross-functional R&D environments.

Desired Qualifications

  • Familiarity with cloud environments (Azure, AWS, or GCP).

  • Experience optimizing models for edge or embedded environments.

  • Knowledge of model compression, quantization, or inference optimization.

  • Research literacy and the ability to read, reproduce, and extend SOTA papers.

  • Open-source contributions or public ML repositories are a strong plus.

  • Prior experience with Keysight software, test and measurement workflows, or domain-specific modeling is highly valued.

  •  

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

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

What Keysight Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply