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Deep Learning Research Jobs in Florida (NOW HIRING)

Conduct research in Machine Learning to improve multiple aspects of the investment pipeline ... Implement state-of-the-art machine learning algorithms and design deep learning architectures

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly ... Utilize knowledge of classical machine learning and deep learning algorithms to address specific ...

$4.5K - $5.8K/wk

Use statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research * Implement algorithms in high-quality ...

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Deep Learning Research information

See Florida salary details

$17.1K

$145.9K

$319.4K

How much do deep learning research jobs pay per year?

As of Sep 3, 2026, the average yearly pay for deep learning research in Florida is $145,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,337.00 and $168,878.00 per year, depending on experience, location, and employer.

What is deep learning research?

A Deep Learning Research job involves investigating and developing advanced machine learning techniques, particularly deep neural networks, to improve AI performance. Researchers design new models, optimize algorithms, and experiment with architectures to solve complex problems in areas like computer vision, natural language processing, and reinforcement learning. They often work in academia, industry, or research labs, publishing findings in conferences and collaborating with engineers to integrate advancements into real-world applications.

What are the key skills and qualifications needed to thrive in deep learning research?

To thrive in Deep Learning Research, you need a strong background in mathematics, computer science, and machine learning principles, often backed by advanced degrees such as an MSc or PhD. Experience with programming languages like Python, proficiency in frameworks such as TensorFlow or PyTorch, and familiarity with high-performance computing resources are highly valuable. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas effectively are essential soft skills. These capabilities ensure you can design, implement, and present innovative deep learning solutions that advance research and address real-world challenges.

What are some common challenges faced by professionals working in deep learning research?

Professionals in Deep Learning Research often encounter challenges such as working with large and complex datasets, ensuring model interpretability, and managing limited computational resources. Staying up-to-date with the rapidly evolving literature and adapting to new techniques or frameworks is also crucial. Additionally, translating research results into practical, scalable applications and collaborating with cross-functional teams can be both demanding and rewarding. Overcoming these challenges requires a combination of technical expertise, creativity, and strong communication skills, making each day dynamic and intellectually stimulating.

What job categories do people searching Deep Learning Research jobs in Florida look for?

The top searched job categories for Deep Learning Research jobs in Florida are:

Infographic showing various Deep Learning Research job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $145,893 per year, or $70.1 per hour.

Research Associate, Aerospace Engineering, Daytona Beach Campus

Embry-Riddle Aeronautical University

Daytona Beach, FL • On-site

Full-time

Re-posted 14 days ago


Embry-Riddle Aeronautical University rating

7.2

Company rating: 7.2 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

388th of 628 rated colleges and universities


Job description

Job Summary:
Embry-Riddle Aeronautical University is a global leader in aviation and aerospace education. They are seeking a Research Associate to contribute to an interdisciplinary project focused on developing mathematical and machine learning tools for bone age classification using neural networks.
Responsibilities:
• Conduct cutting-edge research on mathematical and computational methods for machine learning applied to bone age classification
• Develop and evaluate neural network and deep learning models for medical image analysis
• Investigate techniques to mitigate high false positive rates in AI-based classification systems
• Contribute to the development of a web-based interface for automated bone age assessment
• Publish research findings in peer-reviewed scientific journals and conferences
• Collaborate with interdisciplinary research teams
• Present work at scientific conferences (travel may be required)
Qualifications:
Required:
• Ph.D. (or equivalent doctorate) in Machine Learning, Artificial Intelligence, Computer Science, or a closely related field
• Strong background in machine learning and AI, particularly in medical imaging applications
• Demonstrated ability in advanced mathematical methods relevant to machine learning
• Proven track record of scientific publications or strong potential to publish
• Experience with neural networks, deep learning, and related techniques
Preferred:
• Experience with medical image analysis or healthcare-related AI systems
• Familiarity with model evaluation and techniques to reduce false positives
• Experience developing user-facing tools or web-based applications
Company:
Embry-Riddle Aeronautical University is the world’s oldest and largest fully accredited university specializing in aviation and aerospace. Founded in 1926, the company is headquartered in Daytona Beach, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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