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Machine Learning Internship Opt Cpt Jobs in Miami, FL

Citadel Securities

FPGA Engineer - Intern (US)

Miami, FL · On-site

$4.5K - $5.8K/wk

In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing ... machine learning and AI to power our analytics and tackle the market's and our clients' most ...

Citadel Securities

FPGA Engineer - Intern (US)

Miami, FL

$112.50 - $145/hr

In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing ... machine learning and AI to power our analytics and tackle the market's and our clients' most ...

KPMG

Senior Associate, Internal Audit

Miami, FL · On-site

$77K - $95K/yr

With a wealth of learning and career development opportunities, a world-class training facility ... OPT, CPT or any other employment-based visa); ability to travel as necessary KPMG LLP and its ...

KPMG

Lead Specialist, DevOps Engineer

Fort Lauderdale, FL · On-site

$50.50 - $69/hr

KPMG invests in continuous learning by providing the tools and training for you to thrive within a ... J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ...

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All JobsMachine Learning Opt Cpt JobsMachine Learning Internship Opt Cpt JobsMachine Learning Internship Opt Cpt Jobs in Miami, FL

Machine Learning Internship Opt Cpt information

See Miami, FL salary details

$24.4K

$40.7K

$84.2K

How much do machine learning internship opt cpt jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning internship opt cpt in Miami, FL is $40,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks can a machine learning intern expect to work on during an internship?

As a Machine Learning intern, you can expect to be involved in projects such as data preprocessing, exploratory data analysis, model building, and performance evaluation. Interns often work with real datasets, contribute to feature engineering, and assist in deploying models or creating proof-of-concept solutions. Collaboration with data scientists, engineers, and sometimes product teams is common, providing valuable insights into real-world machine learning workflows. This hands-on experience helps interns build technical skills and gain exposure to best practices in the field.

What is a machine learning internship OPT CPT?

A Machine Learning Internship OPT CPT refers to an internship opportunity in the field of machine learning that is specifically available to international students in the U.S. on F-1 visas, who are eligible for Optional Practical Training (OPT) or Curricular Practical Training (CPT). These internships allow students to gain hands-on experience applying machine learning techniques in real-world projects while meeting their academic requirements or career goals. The roles typically involve tasks such as data analysis, building predictive models, and working with large datasets using programming languages like Python or R. OPT is usually used after graduation, while CPT is often part of the academic curriculum during the degree program.

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

AspectMachine Learning Internship Opt CptData Science Internship
Required CredentialsTypically requires coursework or experience in machine learning, programming, and statisticsRequires knowledge in statistics, data analysis, and programming, often with a focus on data manipulation
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBroad industry sectors including finance, healthcare, tech, with data analysis focus
Employer & Industry UsageUsed by companies developing AI/ML products and servicesUsed across industries for data-driven decision making

While both internships involve working with data, the Machine Learning Internship Opt Cpt focuses on developing algorithms and models, whereas Data Science Internships emphasize data analysis and insights. Your choice depends on whether you want to specialize in machine learning techniques or broader data analysis tasks.

What are the key skills and qualifications needed to thrive as a machine learning intern OPT CPT?

To thrive as a Machine Learning Intern (OPT CPT), you need a solid background in computer science, mathematics, and statistics, often demonstrated by coursework or a related degree. Experience with programming languages like Python or R, familiarity with machine learning frameworks such as TensorFlow or scikit-learn, and understanding of data analysis tools are commonly required. Strong problem-solving abilities, curiosity, and effective teamwork and communication skills help interns stand out. These skills are crucial for successfully contributing to projects, learning from real-world data, and collaborating with multidisciplinary teams.
What job categories do people searching Machine Learning Internship Opt Cpt jobs in Miami, FL look for? The top searched job categories for Machine Learning Internship Opt Cpt jobs in Miami, FL are:
What cities near Miami, FL are hiring for Machine Learning Internship Opt Cpt jobs? Cities near Miami, FL with the most Machine Learning Internship Opt Cpt job openings:
Machine Learning Internship Opt Cpt jobs near you

Quantitative Research Engineer - PhD Intern (US)

Citadel

Miami, FL

$112.50 - $145/hr

Full-time

Re-posted 29 days ago

Job description

Job Description

At Citadel, Quantitative Research Engineers work closely with Quantitative Researchers to develop and implement automated trading system software solutions. These solutions utilize advanced statistical and quantitative techniques to tackle complex financial challenges. We seek candidates with a proven track record of excellence in their field and a strong desire to apply their advanced software engineering skills to systematic investing.

As an intern, you'll get to challenge the impossible in 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

  • Design, develop, test, and deploy elegant software solutions for automated trading systems
  • Partner with the Quantitative Research team to define priorities and deliver custom software solutions

Your Skills & Talents

  • PhD degree in computer science, mathematics, statistics, physics, or another highly quantitative field
  • Strong programming skills with proficiency in one or more programming languages, including C++, Python, and R
  • A deep passion for technology, software development, and mathematics
  • Strong computer science fundamentals and software development experience
  • Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development
  • Proven track record of creatively solving problems by understanding and prioritizing business value and applying technology solutions
  • Strong written and verbal communications 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.

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