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Internship Machine Learning Jobs in Bridgeport, CT

Agentic AI Developer Intern

Stamford, CT ยท On-site

$27 - $30/hr

Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. * Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP ...

BLP Intern - Credit

Stamford, CT

$16 - $21.25/hr

Business Leadership Program Internship Overview: Synchrony's Business Leadership Program Summer ... SAS, Python, Machine Learning * Modeling skills plus experience with financial statements P&L ...

Business Leadership Program Internship Overview: Synchrony's Business Leadership Program Summer ... edge machine learning models to predict customer behavior. You will work with large and complex ...

This internship provides hands-on experience in applying artificial intelligence technologies ... Machine Learning projects * Prompt engineering * AI workflow automation * Preferred experience ...

Data Scientist, Agentic AI

Stamford, CT ยท Hybrid

$95K - $156K/yr

Solid understanding of probability, statistics, and machine learning fundamentals. * Strong ... Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an ...

New

Internship, coursework, or project experience in finance, data analytics, or programming is a plus but not required. * Familiarity with machine learning, predictive modeling and big data framework a ...

Internship, coursework, or project experience in finance, data analytics, or programming is a plus but not required. * Familiarity with machine learning, predictive modeling and big data framework a ...

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Internship Machine Learning information

See Bridgeport, CT salary details

$25.9K

$43.3K

$89.5K

How much do internship machine learning jobs pay per year?

As of Jul 20, 2026, the average yearly pay for internship machine learning in Bridgeport, CT is $43,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,800.00 per year, depending on experience, location, and employer.

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

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning, and why are they important?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What are internship machine learning positions?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a Machine Learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.
What are the most commonly searched types of Machine Learning jobs in Bridgeport, CT? The most popular types of Machine Learning jobs in Bridgeport, CT are:
What are popular job titles related to Internship Machine Learning jobs in Bridgeport, CT? For Internship Machine Learning jobs in Bridgeport, CT, the most frequently searched job titles are:
Quantitative Researcher - PhD Intern (US)

Quantitative Researcher - PhD Intern (US)

Citadel

Greenwich, CT โ€ข On-site

$4.5K - $5.8K/wk

Other

Posted 4 days ago


Job description

Job Description

At Citadel, our mission is to be the most successful investment team in the world. Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

As an intern, you'll dive into research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.

Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.

Your Objectives

  • Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code
  • Back test and implement trading models and signals in a live trading environment
  • Use unconventional data sources to drive innovation
  • Conduct research and statistical analysis to build and refine monetization systems for trading signals

Your Skills & Talents

  • PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
  • Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
  • Prior experience working in a data driven research environment
  • Experience with translating mathematical models and algorithms into code (Python, R or C++)
  • Independent research experience
  • Ability to manage multiple tasks and thrive in a fast-paced team environment
  • Excellent analytical skills, with strong attention to detail
  • Strong written and verbal communication skills

Opportunities available in New York, Miami, Greenwich, and Houston.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.

About Citadel

Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.