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Applied Computing Jobs in Florida (NOW HIRING)

SynthBee, Inc.

ML Applied Scientist

Pembroke Pines, FL · On-site

As an ML Applied Scientist, you will support tech leadership by designing and deploying machine ... computing intelligence, and AI broadly, sharing insights with the team and contributing to the ...

University of Florida

Data Scientist I

Gainesville, FL · On-site

$61K/yr

Statistical consulting with faculty, staff, and graduate students on applied research projects in ... The position may also use high-performance computing resources when appropriate for statistical or ...

NextEra Energy

Data Scientist

Juno Beach, FL · On-site

Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data ...

NextEra Energy

Data Scientist

Juno Beach, FL · On-site

Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data ...

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All JobsApplied Computing JobsApplied Computing Jobs in Florida

Applied Computing information

See Florida salary details

$15.7K

$81.3K

$135.3K

How much do applied computing jobs pay per year?

As of Aug 2, 2026, the average yearly pay for applied computing in Florida is $81,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $104,600.00 per year, depending on experience, location, and employer.

What can you do with an applied computing degree?

An applied computing degree prepares individuals for roles such as software developer, systems analyst, data analyst, or IT specialist. Graduates can work in software development, network administration, cybersecurity, or data management, often using programming languages, databases, and technical tools. The degree provides practical skills for technology-focused careers in various industries.

Which 3 jobs will survive AI?

Applied Computing professionals such as software developers, cybersecurity analysts, and data scientists are likely to continue thriving as AI automates routine tasks. These roles require complex problem-solving, creativity, and specialized technical skills that are less easily replaced by AI. Continuous learning and adapting to new tools like machine learning frameworks are essential for long-term job security.

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

To thrive in Applied Computing, you need strong analytical abilities, problem-solving skills, and a solid background in computer science or related disciplines, often supported by a relevant bachelor's or master's degree. Familiarity with programming languages, databases, cloud platforms, and certifications like CompTIA, AWS, or Microsoft Azure is highly beneficial. Strong teamwork, effective communication, and project management skills help you excel in multi-disciplinary settings. These qualities enable professionals to design and implement effective technical solutions to complex, real-world problems across industries.

What jobs can I get with applied science?

Applied science graduates can pursue careers such as research scientist, data analyst, systems analyst, software developer, or quality assurance specialist. These roles often require strong problem-solving skills, technical knowledge, and proficiency with tools like programming languages or laboratory equipment.

What types of projects or challenges might I encounter in an Applied Computing role?

In an Applied Computing position, you may work on diverse projects such as developing custom software applications, optimizing business processes with automation, analyzing data for actionable insights, or integrating new technology solutions within existing systems. Challenges often include translating organizational needs into technical requirements, staying current with rapidly evolving technologies, and collaborating closely with stakeholders across departments. You’ll typically collaborate with IT teams, subject matter experts, and sometimes clients to ensure solutions are practical and user-centered. These varied responsibilities keep the role dynamic and provide continual opportunities to expand your technical and professional expertise.

What is an Applied Computing job?

An Applied Computing job involves using computing principles and technologies to solve real-world problems in various industries. Professionals in this field apply software development, data analysis, cybersecurity, and IT management skills to improve business operations and decision-making. These roles can be found in sectors like healthcare, finance, manufacturing, and government, where technology is integrated to optimize processes and drive innovation.

What is the highest paying computing job?

In applied computing, senior roles such as Chief Technology Officer (CTO), solutions architect, and data science director tend to have the highest salaries, often exceeding six figures. These positions typically require advanced skills, extensive experience, and leadership responsibilities in technology development and strategy.
What are popular job titles related to Applied Computing jobs in Florida? For Applied Computing jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Applied Computing jobs in Florida look for? The top searched job categories for Applied Computing jobs in Florida are:
Applied Computing jobs near you
Infographic showing various Applied Computing job openings in Florida as of July 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $81,286 per year, or $39.1 per hour.

ML Applied Scientist

SynthBee, Inc.

Pembroke Pines, FL • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
SynthBee, Inc. is focused on building Collaborative Intelligence™ to maximize the potential of people and computers working together. As an ML Applied Scientist, you will support tech leadership by designing and deploying machine learning models and systems, collaborating with cross-functional teams to drive innovation and enhance products and services.
Responsibilities:
• Contribute as required to the development of SynthBee’s machine learning products.
• Conduct research and experiments to evaluate performance of different machine learning models and techniques to drive SynthBee’s platform strategy, exploring new possibilities and identifying areas of opportunity for impact.
• Work with large, complex datasets, leveraging both structured and unstructured data to drive insights and predictions.
• Generate and evaluate ideas for potential new products and features, using both technical expertise and creative problem-solving skills.
• Assist in the architectural design of systems, working closely with data engineers and software developers to ensure scalability, reliability, and performance.
• Partner with cross-functional teams, including data science, engineering, and product, to align research initiatives with business goals.
• Stay current with advancements in computer science, computing intelligence, and AI broadly, sharing insights with the team and contributing to the continuous improvement of SynthBee’s approaches.
Qualifications:
Required:
• Strong understanding of Machine Learning and Deep Learning fundamentals.
• Strong understanding of recent ML architectures such as transformers and diffusion models, including training and fine-tuning these models.
• Familiarity with architectural design principles for computing intelligence systems, including experience with model training and fine-tuning, model evaluations, and model deployment with scalability considerations.
• Knowledge of research methodologies and ability to critically evaluate existing research and computing intelligence literature.
• Proficiency in programming languages such as Python, C++, or Java, with extensive experience using ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
• Skilled in data processing tools (Pandas, Spark) used in statistical analysis, data wrangling, and feature engineering, with the ability to derive insights from large and complex datasets.
• Proficient in designing and conducting experiments, with a strong understanding of A/B testing and evaluation metrics for computing intelligence model performance.
• Strong coding skills in relevant programming languages, with experience in data visualization and presentation of results.
• Ability to independently design and execute experiments, with a focus on iterative learning and improvement.
• Ability to communicate complex ideas effectively to both technical and non-technical stakeholders.
• Strong problem-solving abilities and a creative approach to tackling open-ended, ambiguous challenges in computing intelligence research.
• Strong organizational skills, with the ability to manage multiple research projects simultaneously and adapt to changing priorities.
Company:
Welcome to SynthBee, Inc. Founded in 2022, the company is headquartered in Hollywood, USA, with a team of 11-50 employees. The company is currently Early Stage.

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