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Internship Graduate Machine Learning Jobs in New Jersey

Demand Intern

Cedar Brook, NJ ยท On-site +1

$15.25 - $19.75/hr

... the Machine Learning Models to create the best forecast. The team also ensure all New Product launches are reflected correctly within the forecast. THE ROLE This internship supports our Demand ...

Demand Intern

Cedar Brook, NJ ยท On-site +1

$15.25 - $19.75/hr

... the Machine Learning Models to create the best forecast. The team also ensure all New Product launches are reflected correctly within the forecast. THE ROLE This internship supports our Demand ...

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... graduate statistics curricula and common challenges such as understanding measure-theoretic ...

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... graduate statistics curricula and common challenges such as understanding measure-theoretic ...

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... graduate statistics curricula and common challenges such as understanding measure-theoretic ...

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... graduate statistics curricula and common challenges such as understanding measure-theoretic ...

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... graduate statistics curricula and common challenges such as understanding measure-theoretic ...

Senior Software Development Engineer, AI

Newark, NJ ยท On-site

$128K - $168K/yr

We are a dynamic, collaborative group of technologists who push the boundaries of machine learning ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Showing results 21-40

Internship Graduate Machine Learning information

What is an internship graduate machine learning?

Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.

What types of projects do internship graduate machine learning roles typically involve, and how are responsibilities structured within the team?

Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.

What are the key skills and qualifications needed to thrive as an internship graduate machine learning, and why are they important?

To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.

What is the difference between Internship Graduate Machine Learning vs Data Analyst?

AspectInternship Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; basic knowledge of programming and statisticsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, research labs, startups; project-based, collaborative teamsBusiness, finance, marketing sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech, AI, and research industries for developing machine learning modelsCommon in corporate, finance, and consulting firms for data-driven decision making

While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.

What cities in New Jersey are hiring for Internship Graduate Machine Learning jobs?

Cities in New Jersey with the most Internship Graduate Machine Learning job openings:

Computer Programming Internship Summer 2026

Montgomery Investment Technology, Inc.

Riverton, NJ โ€ข On-site

$18.50 - $24.25/hr

Other

Re-posted 3 days ago


Job description

Summary
Montgomery Investment Technology, Inc. of Cinnaminson, New Jersey, specializes in the valuation of options and derivatives securities. We deliver software applications, valuation consulting services, and training seminars. MITI is seeking a Software Developer Intern to join our team. This position is ideal for junior and senior level undergraduate and graduate students who wish to gain real-world experience in computer programming for finance and data analysis. 
  
Job Description

  • Research Python Programming for Financial Modeling, Data Analysis, and Machine Learning
  • Perform JavaScript Development for an MS Excel Add-In
  • Engage in the coding lifecycle, ensuring robustness and efficiency in Cloud Applications
  • Document Procedures: Maintain clear and comprehensive documentation for all developed systems and models
  • Perform WordPress Development and analyze SEO performance metrics.
  • Work on Financial Calculators and other tools that leverage Quantitative Finance.
  • Research and Development in Machine Learning, and its potential to guide product direction
  • Discussion of Data Structures, Algorithms, Software Design Patterns and Methodologies, and System Design
Requirements
  • Working knowledge of Python, JavaScript, and software version control
  • Exposure to a Web UI Framework or CSS
  • Ability to leverage Python Libraries such as Pandas, NumPy, SciPy, Google Analytics API Client Library
  • Strong Math and Modeling Skills
  • Self-Starter Who Can Work Autonomously
  • Organizational and Time Management Skills
  • Enthusiasm and Eagerness to Learn 

Earn course credits and gain real-world experience.
If you have a desire to learn and strong organizational skills, this could be your opportunity!
  
Next Steps
Please visit our website at www.fintools.com to learn more about the business activities of Montgomery Investment Technology, and the market segments that we serve. Tell us how you think you can fit in.

Montgomery Investment Technology, Inc.
Developer of FinTools® Software
Knowledge | Innovation | Experience
fintools.com

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