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

Role Summary As a ML/Research Engineer at Citadel Securities, you will work closely with ... Skills and Preferred Qualifications * 2+ years of experience in machine learning and software ...

Key Responsibilities: • Conduct cutting-edge research and development in machine learning, with a focus on large language models (LLMs) and Deep learning and their applications in quantitative ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$71K - $96K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You will learn and apply new techniques from open source packages and research publications, and ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

Work with quant and machine learning researchers to continuously refine and improve data pipelines and execution algorithms. Provide an extra pair of hands for various other SE/QD workloads.

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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 Jun 14, 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, and why are they important?

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 job categories do people searching Machine Learning Researcher jobs in Miami, FL look for? The top searched job categories for Machine Learning Researcher jobs in Miami, FL 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 June 2026, with employment types broken down into 97% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $108,176 per year, or $52 per hour.
Machine Learning Researcher, Options

Machine Learning Researcher, Options

Citadel

Miami, FL

Other

Posted 6 days ago


Job description

Job Description
Role Overview
At Citadel Securities, we are at a once-in-a-generation opportunity in the financial markets. Machine Learning Researchers on our Options team turn cutting-edge ideas and petabyte-scale data into bleeding edge models with direct trading impact. Our team of researchers iterate quickly, own decisions end-to-end, and operate with substantial autonomy, resources, and scope in a flat, no-bureaucracy environment.
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, please share your details and we will contact you if there is a vacancy available.
Responsibilities
  • Own the full research lifecycle, from hypothesis, experiment design, model validation, risk/overfit controls, to deployment
  • Conduct cutting-edge research and development in machine learning (e.g. LLMs) at scale with a focus on industry leading techniques and their applications in quantitative finance
  • Ship models to production that move P&L in options markets-measured by clear, testable outcomes
  • Prototype test iterate fast The resources and support to take great ideas from concept to trading in a very short space of time
  • Discover alpha in high-dimensional data with deep learning, time-series, and representation learning
  • Engineer scalable research pipelines from feature generation to distributed training and backtesting
  • Develop trading intuition to translate insights into executable strategies
  • Leverage large scale compute and data (petabytes; large budgets) to run ambitious experiments and push the frontier
Skills and Preferred Qualifications
  • Masters or PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
  • Advanced training and strong research track record in statistics, machine learning, AI, or another highly quantitative field
  • Deep knowledge of cutting edge large scale models and their training and design
  • Training techniques (pre-training, fine-tuning, RL, RLHF), and optimization methods
  • A results-oriented track record of having taken ML ideas from theory to measurable impact
  • Strong math fundamentals (linear algebra, probability, optimization) and mastery of regression/ML for large scale data
  • Fluency in Python (NumPy, PyTorch) and the ability to write clean, modular, performant code for large-scale experiments
  • Hands-on with modern machine learning (sequence models/transformers, representation learning, regularization, cross-validation, causal/robust inference) applied in practice
  • Bias to action & problem-solving demonstrated ability and comfort around owning decisions, iterating quickly, and simplifying complex problems to impactful solutions
  • Curiosity about markets and enthusiasm to learn microstructure, options dynamics, and volatility regimes on the job
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 .