1

Machine Learning Intern Jobs in Norwalk, CT (NOW HIRING)

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the ... The ideal candidate will have strong machine learning, data science and software engineering skills ...

Research Intern

New York, NY · On-site

$300K - $500K/yr

  • Medical

  • Dental

  • Vision

We're hiring a Research Intern to help us answer a question no one has answered yet: how do you ... Research experience in at least one area of machine learning or its neighbors (natural language ...

New

We combine machine learning, creative exploration, and virtual reality to provide a solution that helps people bounce back at the most efficient ways. The Intern will work directly with chief digital ...

Showing results 21-40

Machine Learning Intern information

See Norwalk, CT salary details

$25.6K

$42.8K

$88.5K

How much do machine learning intern jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning intern in Norwalk, CT is $42,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $46,300.00 per year, depending on experience, location, and employer.

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 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 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 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 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 job categories do people searching Machine Learning Intern jobs in Norwalk, CT look for? The top searched job categories for Machine Learning Intern jobs in Norwalk, CT are:
What cities near Norwalk, CT are hiring for Machine Learning Intern jobs? Cities near Norwalk, CT with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Norwalk, CT as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,830 per year, or $20.6 per hour.

Quant Risk Management Intern - Year Round

CME Group

New York, NY • On-site

$23.84 - $39.71/hr

Full-time

Medical

Re-posted 28 days ago


Job description

CME Group is currently looking for a Quantitative year-found intern in our New York office.
This candidate will assist our quantitative risk research on day-to-day activities in support of CME Securities Clearing business. He will work in a team that develops Risk/Pricing Models that evaluate counterparty exposures to the Clearing House. These include models related to Pricing, Value-at-Risk, Stress Testing, Liquidity, Regulatory Capital, and also developing tools for Portfolio Analytics. The incumbent also works to perform back testing & statistical analysis required to ensure the adequacy of margin coverage & justify other model assumptions.
Principal Accountabilities:
  • Conduct empirical studies and make recommendations on margin levels, modeling issues, and other risk-mitigation measures. Ensure that the model is up to date with the proven theories in the field.
  • Ensure deployment, testing and continuous improvement of these models within the Production Infrastructure of CME.
  • Work on a team that enhances existing risk models as well as designs/prototypes new models across different asset classes like OTC and Futures (e.g. Pricing, VaR, Backtest, Stress, Liquidity, etc.).

Required Qualifications:
  • A Master or PhD in Statistics, Mathematics, Physics, Operational research, Financial math or Engineering.
  • Experience with some programming languages such as Python/C++/R/VBA and SQL is also required.

Desired Qualifications:
  • Commitment to the highest ethical standards.
  • Knowledge of bond math and CME rate products.
  • Proficiency in probability, statistics and optimization.
  • Understanding of back-testing frameworks, historical analysis and scenario-based research.
  • Hands-on programming experience in Python (numpy, pandas, matplotlib...) or analytical packages (R/Matlab) and data visualization.

Minimum Qualifications:
  • Currently pursuing a Master's degree or PhD
  • Local to New York

Sponsorship Qualifications:
  • Please note that our company is unable to provide employment sponsorship for this position and can only consider candidates who are legally authorized to work in the United States without sponsorship assistance (CPT, H1B, F1, L etc.).

#EarlyCareers
CME Group is committed to offering a competitive pay package for our employee interns. The pay range typically applicable to our intern roles is $23.84--$39.71. Actual pay offered will be dependent on a wide array of factors including but not limited to: relevant experience, skills, education, location of the internship, and the internship area of focus. Through our benefits program, we offer our employee interns the opportunity to participate in select offerings. This includes our comprehensive health coverage and a mental health benefit.
CME Group: Where Futures are Made
CME Group is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it - all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more.
At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone's perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic.
Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here.

CME Group logo

About CME Group

Sourced by ZipRecruiter

As the world’s leading derivatives marketplace, CME Group is where the world comes to manage risk. We enable clients to trade futures, options, cash and OTC markets, optimize portfolios, and analyze data – empowering market participants worldwide to efficiently manage risk and capture opportunities. CME Group exchanges offer the widest range of global benchmark products across all major asset classes based on interest rates, equity indexes, foreign exchange, energy, agricultural products and metals. We meet uncertainty and volatility with confidence and clarity, across the trading lifecycle and around the world.

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Chicago, IL, US

Year founded

2007

Social media