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Entry Level Machine Learning Engineer Jobs in New Jersey

Senior Machine Learning Engineer / AI Engineer About the Role We are seeking a Senior Machine Learning Engineer to lead the design, development, and production deployment of advanced AI and machine ...

Senior Security Engineer - AI

Jersey City, NJ · Hybrid

$119K - $163K/yr

Use and fine-tune machine learning models (like Deep Learning, K-MEANS, SVM etc) to identify ... Audit existing manual workflows and re-engineer them using a "Machine-First" mindset, utilizing ...

Senior Security Engineer - AI

Jersey City, NJ · On-site

$119K - $163K/yr

Use and fine-tune machine learning models (like Deep Learning, K-MEANS, SVM etc) to identify ... Audit existing manual workflows and re-engineer them using a "Machine-First" mindset, utilizing ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Entry Level Machine Learning Engineer information

See New Jersey salary details

$30.5K

$70.4K

$119.8K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for entry level machine learning engineer in New Jersey is $70,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $79,700.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in New Jersey? The most popular types of Machine Learning Engineer jobs in New Jersey are:
What cities in New Jersey are hiring for Entry Level Machine Learning Engineer jobs? Cities in New Jersey with the most Entry Level Machine Learning Engineer job openings:
AI/ML Engineer

$70 - $80/hr

Other

Posted 24 days ago


Job description

Location: Jersey City, NJ
Salary: $70.00 USD Hourly - $80.00 USD Hourly
Description:
Senior Machine Learning Engineer / AI Engineer
About the Role
We are seeking a Senior Machine Learning Engineer to lead the design, development, and production deployment of advanced AI and machine learning solutions. In this role, you will work across engineering, product, and data teams to solve complex business problems, advance modern ML practices, and ensure responsible and scalable AI systems. You will help foster a culture of technical excellence, experimentation, and continuous learning while working with state-of-the-art technologies.
Responsibilities
  • Lead the development, training, evaluation, and deployment of large-scale ML and AI models in production environments.
  • Design and implement prompt engineering strategies, agentic workflows, and orchestration frameworks to support advanced AI use cases.
  • Build and operate scalable ML systems using cloud platforms and distributed computing technologies.
  • Establish and promote MLOps best practices, including model versioning, monitoring, CI/CD pipelines, and automated retraining.
  • Partner closely with engineers, product managers, and data scientists to translate business requirements into robust ML solutions.
  • Ensure responsible AI practices, including model governance, reliability, security, and ethical considerations.
  • Communicate technical concepts and trade-offs clearly to both technical and non-technical stakeholders.
  • Contribute to technical leadership through design reviews, mentoring, and continuous improvement of engineering standards.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
  • Proven experience designing, training, and deploying machine learning or AI models in production systems.
  • Strong understanding of modern ML techniques and their application to real-world business problems.
  • Experience working with at least one major cloud platform (AWS, Azure, or Google Cloud Platform).
  • Excellent communication skills and the ability to collaborate in cross-functional environments.
Preferred Qualifications
  • Experience with prompt engineering, agentic systems, and AI orchestration frameworks.
  • Hands-on experience with distributed systems and large-scale compute frameworks such as Kubernetes, Ray, or Slurm.
  • Strong knowledge of MLOps tooling and practices, including MLflow, model monitoring, and CI/CD for ML workflows.
  • Demonstrated technical leadership, including influencing architecture decisions and mentoring other engineers.
  • Passion for detail, ownership, and delivering high-quality, reliable ML systems at scale.

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