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Deep Learning Jobs in Florida (NOW HIRING)

Citadel

Deep Learning ML Researcher

Miami, FL · On-site

Models incorporate advanced techniques: deep learning, sequence / time-series models, representation learning, and methods to tame overfitting and ensure robustness in financial regimes. The goal ...

SynergisticIT

Machine Learning Engineer

Tallahassee, FL · On-site

Build the next-generation information extraction product powered by state-of-the-art AI and Deep Learning techniques. * Work with an international top-notch engineering team with full commitment on ...

SynergisticIT

Machine Learning Developer

Miami, FL · On-site

Build the next-generation information extraction product powered by state-of-the-art AI and Deep Learning techniques. * Work with an international top-notch engineering team with full commitment on ...

ENSCO, Inc.

Machine Learning Engineer

Cocoa Beach, FL · On-site

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and ...

Varsity Tutors

Machine Learning Tutor

Fort Pierce, FL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Orlando, FL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

ENSCO, Inc.

Sr. Machine Learning Engineer

Cocoa Beach, FL · On-site

$88.40K - $121.40K/yr

ENSCO, Inc. is seeking a Sr. Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines ...

Varsity Tutors

Machine Learning Tutor

Doral, FL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Tallahassee, FL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Tampa, FL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Cooper City, FL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Gainesville, FL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

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How much do deep learning jobs pay per year?

As of May 28, 2026, the average yearly pay for deep learning in Florida is $62,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $103,900.00 per year, depending on experience, location, and employer.

What is a Deep Learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the key skills and qualifications needed to thrive in the Deep Learning position, and why are they important?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What are the typical daily responsibilities of a Deep Learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What are deep learning jobs?

Deep learning jobs involve developing and applying neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. These roles typically require skills in programming languages like Python, experience with frameworks like TensorFlow or PyTorch, and a strong understanding of machine learning concepts. They are common in industries such as technology, healthcare, and finance, often requiring a background in computer science or related fields.
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Deep Learning jobs near you
Deep Learning ML Researcher

Deep Learning ML Researcher

Citadel

Miami, FL • On-site

Other

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

Job description

Job Description
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.
Researchers build and deploy models across equities, options, fixed income, and derivatives domains, often working with petabyte-scale data.
Models incorporate advanced techniques: deep learning, sequence / time-series models, representation learning, and methods to tame overfitting and ensure robustness in financial regimes.
The goal: each model isn't a theoretical exercise - it has a measurable P&L impact (or reduces risk / cost) when deployed in live market-making or trading contexts.
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 finance.
• Design, implement, and optimize machine learning models for performance and scalability, particularly in financial contexts.
• Collaborate with cross-functional teams to integrate ML solutions into business processes and trading strategies.
Skillset Requirements:
  • Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems
  • Deep knowledge of LLM architectures, including transformers.
  • Familiarity with attention mechanisms, normalization techniques, and model architecture design.
  • Training techniques (pre-training, fine-tuning, RLHF), and optimization methods.
  • Understanding of low-level details like GPU memory management, precision types (float16, bfloat16), and parallelization techniques.
  • Proficiency in advanced training techniques such as pre-training, fine-tuning, RLHF, and DPO.
  • Expertise in Python and ML frameworks like PyTorch or TensorFlow.
  • Familiarity with Retrieval Augmented Generation (RAG) systems and their implementation.
  • Proven ability to approach open-ended problems and design end-to-end solutions in ML/AI.
  • Strong mathematical and statistical foundations, particularly in areas relevant to quantitative finance.
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 .

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