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Machine Learning Engineer Jobs in Pennington, NJ

The Machine Learning Engineer will design, develop, and deploy production-ready machine learning solutions with a strong focus on hands-on engineering and coding. The role requires extensive Python ...

We are seeking an Expert Machine Learning Engineer to join our team in Moorestown, NJ. Responsibilities: • Develops, researches, and applies machine learning, deep learning, visual artificial ...

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ. Responsibilities: * Develops, researches, and applies machine learning, deep learning, visual ...

Senior Machine Learning Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ. Responsibilities: * Develops, researches, and applies machine learning, deep learning, visual ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

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Machine Learning Engineer information

See Pennington, NJ salary details

$31.8K

$130K

$195.3K

How much do machine learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning engineer in Pennington, NJ is $129,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $156,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Machine Learning Engineer jobs in Pennington, NJ look for?

The top searched job categories for Machine Learning Engineer jobs in Pennington, NJ are:

What cities near Pennington, NJ are hiring for Machine Learning Engineer jobs?

Cities near Pennington, NJ with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Pennington, NJ as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, and 6% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $129,969 per year, or $62.5 per hour.

Machine Learning Engineer

Philadelphia, PA • On-site

Compunnel
IT Services • 501 - 1,000 employees

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary:
The Machine Learning Engineer will design, develop, and deploy production-ready machine learning solutions with a strong focus on hands-on engineering and coding. The role requires extensive Python programming, recent and relevant PySpark experience, strong AWS skills, and experience setting up local Large Language Models (LLMs). The ideal candidate will have a proven track record of delivering machine learning models into production and will be expected to demonstrate hands-on technical capabilities through a coding exercise and screen-sharing session.
Key Responsibilities:
• Design, develop, and implement machine learning models and solutions.
• Write production-quality code using Python and PySpark.
• Develop and optimize data processing workflows using PySpark.
• Deploy machine learning models into production and support their ongoing operation.
• Work with AWS services to develop and deploy machine learning solutions.
• Set up and work with local Large Language Models (LLMs).
• Troubleshoot, optimize, and maintain machine learning solutions and production models.
• Collaborate with technical teams to deliver scalable and reliable ML solutions.
• Participate in a hands-on coding exercise and screen-sharing technical evaluation.
Required Qualifications:
• 5+ years of experience as a Machine Learning Engineer.
• Extensive hands-on Python programming experience.
• Recent and relevant hands-on experience with PySpark.
• Strong experience with AWS.
• Proven experience delivering machine learning models into production.
• Experience setting up and working with local LLMs.
• Strong hands-on coding and problem-solving skills.
• Ability and willingness to complete a coding exercise through screen sharing.
• Strong focus on hands-on engineering rather than ML management.

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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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