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Machine Learning Intern Jobs in Piscataway, NJ (NOW HIRING)

You'll gain hands-on experience in the office and in the market, learning what it takes to buy ... Assistant Buyer Intern * Observe the administrative and operational functions supporting a ...

You'll gain hands-on experience in the office and in the market, learning what it takes to buy ... Assistant Buyer Intern * Observe the administrative and operational functions supporting a ...

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Machine Learning Intern information

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$26K

$43.4K

$89.7K

How much do machine learning intern jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning intern in Piscataway, NJ is $43,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,900.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What are the most commonly searched types of Machine Learning jobs in Piscataway, NJ?

The most popular types of Machine Learning jobs in Piscataway, NJ are:

What job categories do people searching Machine Learning Intern jobs in Piscataway, NJ look for?

The top searched job categories for Machine Learning Intern jobs in Piscataway, NJ are:

What cities near Piscataway, NJ are hiring for Machine Learning Intern jobs?

Cities near Piscataway, NJ with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Piscataway, NJ as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 13% Hybrid, and 9% Remote job distribution, with an average salary of $43,388 per year, or $20.9 per hour.

Model Risk Management Intern [2027 Internship Program]

DTCC

Jersey City, NJ โ€ข Hybrid

Full-time, Internship

Posted 11 days ago


Job description

JOB DESCRIPTION

Build Your Future at DTCC

As a Model Risk Management Intern, you will gain exposure to DTCCโ€™s enterprise-wide approach to identifying, measuring, monitoring, and managing model risk. Model Risk Management provides independent oversight of day-to-day model risk management activities and supports front-line units in managing risk related to the design, development, implementation, and use of models. You will support validation, analysis, documentation, and governance activities while building a practical understanding of model risk frameworks and standards.

At DTCC, interns contribute to meaningful work while learning how the financial markets operate behind the scenes. You will be part of a structured summer experience that combines team-based project work, training, feedback, mentorship, and opportunities to connect with leaders and peers.

About the Summer Internship Program

The Summer Internship Program is a 10-week experience designed to build a strong foundation for early-career talent. The program includes orientation, training, manager engagement, feedback milestones, networking, and development experiences that help students explore potential full-time career paths, including EDGE where applicable.

What you will gain

  • Hands-on work connected to real business priorities, not only observation or administrative tasks.
  • Structured orientation and training to help you understand DTCC, the industry, and your business area.
  • Manager support, mentorship, peer connection, and opportunities to build your network.
  • Development experiences focused on communication, feedback, professional skills, and career readiness.
  • Mid-point and final feedback to help you understand your strengths, development areas, and potential next steps.
  • Exposure to DTCC culture, values, and community engagement.

What you will do

Role Responsibilities

In this role, you will support model validation, analysis, documentation, and governance activities while learning how DTCC manages model risk across the enterprise.

  • Prepare, clean, and analyze data used in model validation testing, benchmarking exercises, and related analytical reviews.
  • Develop validation scripts, analytical tools, and process enhancements using programming languages such as Python, R, or similar tools.
  • Perform validation tests and investigate model behavior, assumptions, performance, and results to support effective model risk oversight.
  • Assist in documenting validation findings, observations, conclusions, and supporting analysis in formal reports and governance materials.
  • Participate in team meetings, knowledge-sharing sessions, research efforts, ad hoc projects, and continuous improvement initiatives within Model Risk Management.

What will help you succeed

Required

  • Currently pursuing a bachelorโ€™s degree in Risk, Statistics, Economics, Finance, Computer Science, Business and Technology Management, MIS, or a related quantitative field.
  • related field.
  • Expected graduation date: Spring2028
  • Minimum GPA: 3.2
  • Authorization to work permanently in the United States without current or future sponsorship.

Preferred

  • Coursework, projects, prior work, internship, student organization, volunteer, or leadership experience related to the role.
  • Interest in financial services, technology, operations, risk, data, business, or the specific business area.
  • Proficient computer and technical skills (Microsoft office suite - Excel, PowerPoint, Power BI, etc.)

What makes you successful

  • Curiosity, initiative, and willingness to ask questions.
  • Strong communication, organization, and follow-through.
  • Analytical thinking and attention to detail.
  • Ability to use feedback and adapt as you learn.
  • Collaboration, professionalism, and accountability.

Benefits and work model

  • Competitive hourly compensation.
  • Hybrid work model: 3 days in office and 2 days remote, based on team schedule.

The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.