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Phd Machine Learning Jobs in Florida (NOW HIRING)

Pae

AI Modeling Specialist (Senior)

Doral, FL

Advanced degree (MS or PhD) in AI, machine learning, data science, or related field * Experience developing AI-enabled automation frameworks or platforms supporting mission workflows * Experience ...

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How much do phd machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for phd machine learning in Florida is $17.05, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 per hour, depending on experience, location, and employer.

What is a PhD in Machine Learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional, and why are they important?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

What cities in Florida are hiring for Phd Machine Learning jobs? Cities in Florida with the most Phd Machine Learning job openings:
Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $35,472 per year, or $17.1 per hour.
Quantitative Research Engineer - PhD Intern (US)

Quantitative Research Engineer - PhD Intern (US)

Citadel

Miami, FL • On-site

$4.5K - $5.8K/wk

Other

This job post has expired today. Applications are no longer accepted.

Job description

Quantitative Research Engineer Intern

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.

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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