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Neural Network Jobs in Florida (NOW HIRING)

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Neural Network information

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$16.4K

$79.6K

$121.4K

How much do neural network jobs pay per year?

As of Aug 14, 2026, the average yearly pay for neural network in Florida is $79,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,200.00 and $95,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a neural network engineer, and why are they important?

To thrive as a Neural Network Engineer, you need a solid background in mathematics, machine learning theory, and programming, often backed by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience in data preprocessing, and knowledge of cloud computing platforms are typically required. Strong problem-solving abilities, collaboration, and effective communication skills distinguish top professionals in this role. These competencies are vital for developing, optimizing, and deploying neural network models that drive innovation in AI-powered solutions.

What is the difference between Neural Network vs Data Scientist?

AspectNeural NetworkData Scientist
Required CredentialsKnowledge of machine learning, programming skills, often a degree in computer science or related fieldsDegree in statistics, computer science, or related fields; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI development teamsBusiness environments, consulting firms, research institutions
Industry UsageDeveloping AI models, deep learning applicationsData analysis, predictive modeling, business insights

Neural networks focus on building and training AI models using complex algorithms, while data scientists analyze data to extract insights and inform decisions. Both roles often collaborate but serve different functions within the AI and data analysis ecosystem.

What is the main job of a neural network?

A neural network is a type of machine learning model used to recognize patterns and make predictions based on data. In a job context, roles involving neural networks typically focus on designing, training, and optimizing these models using programming skills and tools like Python and TensorFlow. The main job is to develop systems that can learn from data to solve complex problems such as image recognition, natural language processing, and data analysis.

What are neural networks?

Neural networks are a type of machine learning model inspired by the structure and function of the human brain. They consist of interconnected layers of nodes, or 'neurons,' that process data and learn to make predictions or decisions based on input data. Neural networks are widely used in applications such as image recognition, natural language processing, and autonomous systems. Their ability to learn complex patterns makes them powerful tools for solving problems that are difficult to program explicitly.

What are some common challenges neural network engineers face when deploying models to production environments?

Neural network engineers often encounter challenges such as model optimization for efficient inference, managing hardware constraints, and ensuring scalability during deployment. Addressing issues like latency, memory usage, and compatibility with production infrastructure is crucial, especially when models are resource-intensive. Collaborating closely with DevOps and software engineering teams is common to streamline deployment pipelines, monitor model performance, and quickly resolve issues that arise post-launch.
Infographic showing various Neural Network job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $79,639 per year, or $38.3 per hour.

Research Associate, Aerospace Engineering, Daytona Beach Campus

Embry-Riddle Aeronautical University

Daytona Beach, FL • On-site

Full-time

Re-posted 24 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

385th of 618 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 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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