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Jr Machine Learning Engineer Jobs in New Jersey (NOW HIRING)

Apex Systems

Machine Learning Engineer

Jersey City, NJ · On-site

Job#: 3049321 Machine Learning Engineer Location Jersey City, New Jersey (Onsite) Employment Type Contract Contract Duration 12 Months Role Overview This position involves applying advanced machine ...

SPECTRAFORCE

Lead Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

* Traditional Machine Learning & Agentic AI * Software Engineering & System Design Overview We are seeking a Lead Machine Learning Engineer to architect, develop, deploy, and scale Machine Learning and ...

New

AvePoint

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$190K - $220K/yr

We are seeking an analytical and innovative Senior Machine Learning Engineer to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve ...

asrcfh

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 ...

asrcfh

Senior Machine Learning Engineer

Moorestown, NJ

$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 ...

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All JobsJr Machine Learning Engineer JobsJr Machine Learning Engineer Jobs in New Jersey

Jr Machine Learning Engineer information

What does a Jr Machine Learning Engineer do?

A Jr Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the guidance of more senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, testing, and helping to integrate models into production systems. They also work on debugging issues, documenting code, and staying up-to-date with the latest industry trends and tools. Junior engineers typically collaborate closely with cross-functional teams to deliver AI-powered solutions.

What are the key skills and qualifications needed to thrive as a Jr Machine Learning Engineer?

To thrive as a Jr Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, as well as experience with data preprocessing and version control systems, is typically required. Strong analytical thinking, problem-solving skills, and the ability to collaborate effectively help you stand out in this role. These competencies are crucial for developing, optimizing, and deploying machine learning models that address real-world business challenges.

What are some common challenges faced by Jr Machine Learning Engineers in their first year on the job?

Jr Machine Learning Engineers often encounter challenges such as understanding complex codebases, managing large datasets, and bridging the gap between academic concepts and real-world applications. Collaboration with data scientists, software engineers, and product teams can also be a learning curve, as effective communication is crucial for project success. Additionally, balancing tasks like model development, testing, and deployment within fast-paced agile environments can be demanding, but these experiences provide valuable opportunities for skill growth and professional development.

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

AspectJr Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often with advanced certifications
Work EnvironmentFocus on developing and deploying ML models, coding, and data preprocessingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, consulting, research institutions

The Jr Machine Learning Engineer primarily develops and deploys ML models, requiring coding skills and familiarity with ML frameworks. Data Scientists analyze data, build statistical models, and interpret insights. While both roles work with data, the Jr Machine Learning Engineer is more focused on implementation, whereas Data Scientists focus on analysis and strategy.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, industry, and experience. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What cities in New Jersey are hiring for Jr Machine Learning Engineer jobs?

Cities in New Jersey with the most Jr Machine Learning Engineer job openings:

Infographic showing various Jr Machine Learning Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Machine Learning Engineer

Parsippany Troy Hills, NJ • On-site

Dale Workforce Solutions
IT Services • 11 - 50 employees
Learn more about Dale Workforce Solutionsexternal

Other

Posted 4 days ago

Job description

Machine Learning Engineer – Recommendation Systems (Consumer Marketing)

We are seeking a skilled Machine Learning Engineer with deep expertise in building and optimizing recommendation systems within the consumer marketing space. The ideal candidate will have hands-on experience designing, implementing, and scaling personalized recommendation and targeting models that drive customer engagement, conversion, and revenue growth. Experience translating consumer behavior and marketing data into actionable, personalized experiences is essential.

Key Responsibilities:

  • Design and develop machine learning models for recommendation and personalization systems (e.g., collaborative filtering, deep learning, hybrid approaches) tailored to consumer marketing use cases such as product recommendations, next-best-action, and audience targeting.
  • Optimize models for scalability, performance, and real-time predictions across large-scale consumer datasets.
  • Collaborate with business leaders, marketing partners, product and engineering teams to integrate models into production and campaign pipelines.
  • Analyze and improve recommendation quality using metrics like precision, recall, click-through rate, conversion, and customer lifetime value.
  • Leverage customer segmentation, behavioral, and first-party marketing data to enhance personalization and relevance.
  • Experiment with cutting-edge techniques (e.g., reinforcement learning, graph neural networks, contextual bandits) to enhance recommendations and marketing outcomes.

Requirements:

  • 5+ years of experience in machine learning, with a focus on recommendation systems, ideally within consumer marketing, retail, e-commerce, or a related consumer-facing domain.
  • Proven track record building personalization or recommendation models that measurably improved engagement or marketing performance.
  • Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong understanding of algorithms like matrix factorization, neural networks, and ranking systems.
  • Strong understanding of LTMs and agentic AI frameworks that can be customized for recommender systems
  • Experience working with consumer/marketing data, including behavioral, transactional, and campaign data (familiarity with CDPs, marketing analytics, or A/B testing is a plus).
  • Experience with Databricks and AWS.
  • Excellent problem-solving skills and a passion for delivering impactful, customer-centric solutions.

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