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Startup Machine Learning Intern Jobs in Miami, FL

This is a highly hands-on role for someone who combines strong research capabilities with real-world production experience and can operate effectively in a fast-moving startup environment.

Software Engineer - Intern (US)

Miami, FL ยท On-site

$4.5K - $5.8K/wk

You'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to ...

You'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to ...

As an intern, you'll get to challenge the impossible in technology through an 11-week program that ... machine learning and AI to power our analytics and tackle the market's and our clients' most ...

FPGA Engineer - Intern (US)

Miami, FL ยท On-site

$4.5K - $5.8K/wk

As an intern, you'll get to challenge the impossible in technology through an 11-week program that ... machine learning and AI to power our analytics and tackle the market's and our clients' most ...

Showing results 21-40

Startup Machine Learning Intern information

See Miami, FL salary details

$24.4K

$40.7K

$84.2K

How much do startup machine learning intern jobs pay per year?

As of Aug 8, 2026, the average yearly pay for startup machine learning intern 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 are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

What does a startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

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

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

What is the difference between Startup Machine Learning Intern vs Startup Data Scientist?

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

What are popular job titles related to Startup Machine Learning Intern jobs in Miami, FL? For Startup Machine Learning Intern jobs in Miami, FL, the most frequently searched job titles are:
What cities near Miami, FL are hiring for Startup Machine Learning Intern jobs? Cities near Miami, FL with the most Startup Machine Learning Intern job openings:
Infographic showing various Startup Machine Learning Intern job openings in Miami, FL as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $40,729 per year, or $19.6 per hour.

Quantitative Research Engineer PhD Intern US

Citadel Securities

Miami, FL โ€ข On-site

$4.5K - $5.8K/wk

Other

Posted 11 days ago


Job description

Job Description

At Citadel Securities, 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 communication skills

Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel Securities, please share your details and we will contact you if there is a vacancy available.

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

About Citadel Securities

Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .