1

Machine Learning Researcher Jobs in Miami, FL (NOW HIRING)

AI / ML Engineer

Miami, FL ยท On-site

$95K - $150K/yr

Stayup-to-date with the latest AI/ML research, tools, and frameworks * Documentsolutions and provide technical guidance to stakeholders Qualifications * 2-5+ yearsexperience in AI, machine learning ...

A master's degree in data science, computer science, marine biology, or a related field, or an undergraduate degree with one year of relevant research experience. * Proficiency in machine learning or ...

Executive Assistant

Miami, FL ยท On-site

$80K - $90K/yr

Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people ...

Post Doctoral Associate

Miami, FL ยท On-site

$46K - $63K/yr

The Center for Digital Cardiovascular Innovations at Miller School of Medicine invites applications for a Postdoctoral Researcher position in AI and machine learning, with a focus on patient-specific ...

Business Strategy Manager

Miami, FL ยท On-site

$125K - $150K/yr

Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people ...

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and operations research skillfulness, along with the rare ability to translate complex technical ...

Showing results 21-40

Machine Learning Researcher information

See Miami, FL salary details

$28.7K

$108.2K

$157.3K

How much do machine learning researcher jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning researcher in Miami, FL is $108,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $147,300.00 per year, depending on experience, location, and employer.

What are some common challenges machine learning researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

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

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What does a machine learning researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.
What are the most commonly searched types of Machine Learning Researcher jobs in Miami, FL? The most popular types of Machine Learning Researcher jobs in Miami, FL are:
What are popular job titles related to Machine Learning Researcher jobs in Miami, FL? For Machine Learning Researcher jobs in Miami, FL, the most frequently searched job titles are:
What cities near Miami, FL are hiring for Machine Learning Researcher jobs? Cities near Miami, FL with the most Machine Learning Researcher job openings:
Infographic showing various Machine Learning Researcher job openings in Miami, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,176 per year, or $52 per hour.

Volatility Quantitative Researcher (Miami) (Full-Time)

Walleye Capital Internships

Miami, FL โ€ข On-site

Other

Re-posted 22 days ago


Job description

Position: Quantitative Researcher (Full-Time)ย  ย ย 

Location: Miami, Florida

Firm Overview

Walleye Capital is a $17 billion+ multi-strategy investment firm headquartered in New York City, with over 400 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Volatility, Fundamental Equities, and Quant strategies.

At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team's success. Our people are our greatest asset, and we've cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity.

Quantitative Researcher

Walleye Capital is seeking a motivated and technical Quant Researcher to join the Equity Volatility team in Miami. The ideal candidate will possess strong statistical, analytical, and modelling skills. This role offers the opportunity to work with portfolio managers, research, and technology teams to research, design, and automate alpha trading strategies, and completely automate strategy execution.ย 

Responsibilities:

  • Work with traders and quants to research, design, and automate alpha trading strategies
  • Manipulate proprietary and public data to build custom data sets for use in research and model development
  • Build predictive models of asset prices over short, medium, and long term frequencies using simple and advanced regression techniques, including machine learning
  • Assist portfolio manager in building portfolio optimization tools to monetize trading signals and manage risk
  • Work with portfolio manager and technology teams to completely automate strategy execution

Qualifications:

  • Proficiency in statistical analysis and modelling of time series financial data in Python is required
  • Basic understanding of financial instruments including stocks and options
  • Role is open to new graduates or first-time finance jobs
  • Strong communication skills, such as ability to clarify task requirements, communicate research findings, and propose solutions to challenges are required
  • Commitment to thorough, accurate work

Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.ย 

If you require a reasonable accommodation to participate in any part of our hiring process, please contact hr@walleyecapital.com

Personal data you provide will be processed in accordance with Walleye Capital LLC's Privacy Notice available at:ย https://www.walleyecapital.com/