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Machine Learning Testing Jobs in Jersey City, NJ

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide ... Experience with unit, integration, and load testing * Experience building APIs * Experience with ...

WireScreen

Machine Learning Engineer

New York, NY · On-site

$150K - $195K/yr

End-to-end machine learning model experience in production; that you've stood up a service including experimenting, training, testing and tuning a job against a dataset all the way through to ...

Prudential

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

Solve complex problems by writing and testing application code, developing and validating ML models ... Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression ...

Capital One

Lead Machine Learning Engineer (IC)

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Solve complex problems by writing and testing application code, developing and validating ML models ...

Warnerbros

Machine Learning Engineer I

New York, NY · On-site

$106K - $146K/yr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power ... Implement rigorous experimentation and A/B testing frameworks to validate model performance and ...

Capital One

Lead Machine Learning Engineer (IC)

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Solve complex problems by writing and testing application code, developing and validating ML models ...

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Machine Learning Testing information

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How much do machine learning testing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for machine learning testing in Jersey City, NJ is $23.82, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $26.59 per hour, depending on experience, location, and employer.

What is a machine learning testing?

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 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.

What are the key skills and qualifications needed to thrive in machine learning testing, 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.

How do I become a machine learning testing?

To become a machine learning testing professional, you typically need a strong background in computer science, programming skills in languages like Python or Java, and knowledge of machine learning frameworks such as TensorFlow or PyTorch. Gaining experience with data analysis, model evaluation, and testing methodologies, along with relevant certifications or training, can improve your qualifications for this role.

What are popular job titles related to Machine Learning Testing jobs in Jersey City, NJ?

For Machine Learning Testing jobs in Jersey City, NJ, the most frequently searched job titles are:

What job categories do people searching Machine Learning Testing jobs in Jersey City, NJ look for?

The top searched job categories for Machine Learning Testing jobs in Jersey City, NJ are:

Machine Learning Testing jobs near you
Infographic showing various Machine Learning Testing job openings in Jersey City, NJ as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $49,546 per year, or $23.8 per hour.

Sr. Machine Learning Engineer, AdTech

CMP.jobs

Manhattan, NY

$61.25 - $81.25/hr

Full-time

Re-posted 25 days ago

Job description

Sr. Machine Learning Engineer, AdTech As a member of our Data Science Engineering team, the Sr. Machine Learning Engineer, AdTech will focus on optimizing real-time bidding strategies and auction mechanics to efficiently spend ad budgets and deliver against campaign targets. In addition to the above, you will work with the greater Data Science/Engineering teams on: - Analyzing and optimizing real-time bidding strategies and online auction mechanics; - Developing new or improving existing models of event predictions; - New feature engineering for multiple machine learning models: - User embeddings and clustering; fraud detection, etc. - Cross-device user identification, cookieless mechanisms development; - Mining different data sources; - Supporting existing codebase for data integration and production support for our core models. Requirements: 5 years minimum of experience in machine learning/data science Key Skills: Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks, Generalised Linear Regression, Multiclass Classification, Java, R - Advanced knowledge of Python using standard DS packages (numpy/pandas/scikit, etc.); Being able to optimize and speed-up code. - 3+ years of RTB Auction or similar online technologies. In addition to the above, you’ll need to have strong knowledge in the following areas: - Algorithms and Data Structures (e.g., sorting, search tree, binary heap, trie; time & mem complexities of algorithms) - Probability and Statistics (e.g., hypothesis testing; Markov process and its stationary distributions, stochastic matrix and its properties; Bayesian inference) - ML & DS (e.g., dimensionality reduction, geometry of PCA / SVD and of L1 / L2 regularisation, Decision trees and their ensembles, collaborative filtering, Thompson sampling / MCMC, Neural Networks, etc.)

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