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Applied Computer Science Jobs in Florida (NOW HIRING)

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

$156K - $355K/yr

About the Role We're looking for an Applied Scientist ( ALL LEVELS ) to push the boundaries of ... Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative ...

OpenDoor

Applied Scientist- Pricing

Miami, FL · On-site

$156K - $335K/yr

About the Role We're looking for an Applied Scientist to work on some of the hardest quantitative ... research, computer science, or another quantitative discipline * Strong communication and ...

Opendoor

Applied Scientist- Pricing

Miami, FL · On-site

$156K - $335K/yr

About the Role We're looking for an Applied Scientist to work on some of the hardest quantitative ... research, computer science, or another quantitative discipline * Strong communication and ...

AgileEngine

Senior Computer Vision Engineer ID72408

Miami, FL · On-site +1

$99K - $137K/yr

ABOUT THE ROLE We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases -- building and deploying ...

AgileEngine

Senior Computer Vision Engineer ID72408

Tampa, FL · On-site +1

$98K - $135K/yr

ABOUT THE ROLE We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases -- building and deploying ...

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Applied Computer Science information

What is applied computer science?

An Applied Computer Science job focuses on practical applications of computing principles to solve real-world problems. Professionals in this field use programming, algorithms, data analysis, and software development to create efficient solutions in various industries. Unlike theoretical computer science, applied computer science emphasizes hands-on implementation and problem-solving. Careers include roles in software development, cybersecurity, data science, and systems administration. These jobs require both technical expertise and the ability to apply computing knowledge to diverse challenges.

What are the key skills and qualifications needed for applied computer science?

To thrive in Applied Computer Science, you need a strong understanding of programming, algorithms, and software engineering, usually with a relevant degree such as Computer Science or Software Engineering. Familiarity with development tools, databases, cloud platforms, and possibly certifications in areas like AWS, Azure, or specific programming languages is highly valuable. Problem-solving ability, teamwork, and effective communication are vital soft skills for delivering solutions in collaborative environments. These abilities ensure your technical solutions are robust, efficiently meet user needs, and integrate smoothly into real-world business contexts.

What are common career advancement opportunities in applied computer science?

Professionals in Applied Computer Science often start in roles such as software developer, systems analyst, or data analyst, and can advance to positions like lead engineer, project manager, or solutions architect with experience. Many organizations encourage ongoing learning through workshops, certifications, and cross-functional projects, allowing for skill-building and specialization in areas like cloud computing, cybersecurity, or artificial intelligence. Some may progress into leadership roles overseeing development teams or managing technical projects. As technology evolves, there is significant potential to transition into new specialties or higher-level positions within the IT and software industry.

Are applied computer science majors still in demand?

Applied computer science majors are in high demand due to the growth of technology industries, data analysis, cybersecurity, and software development. Skills in programming languages, algorithms, and systems design increase employability across various sectors, with many roles requiring practical experience and certifications.

What are 5 careers in applied computer science?

Applied computer science offers careers such as software developer, data analyst, cybersecurity analyst, systems engineer, and machine learning engineer. These roles typically require programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

What can you do with an applied computer science degree?

An applied computer science degree prepares individuals for roles such as software developer, data analyst, systems analyst, cybersecurity specialist, or network administrator. Graduates can work in technology companies, finance, healthcare, or government agencies, often utilizing programming languages, data management, and problem-solving skills to develop and maintain computer systems and applications.

What are the most commonly searched types of Applied Computer Science jobs in Florida?

The most popular types of Applied Computer Science jobs in Florida are:

What are popular job titles related to Applied Computer Science jobs in Florida?

For Applied Computer Science jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Applied Computer Science jobs in Florida look for?

The top searched job categories for Applied Computer Science jobs in Florida are:

Applied Computer Science jobs near you
Infographic showing various Applied Computer Science job openings in Florida as of September 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution.

Applied Scientist AI/ML

Miami, FL • On-site

Opendoor
See more jobs at Opendoorexternal

$156K - $355K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Key responsibilities

  • Design and deploy architectural improvements to deep neural network-based home valuation models.

  • Build interpretable machine learning models to explain pricing decisions to customers.

  • Incorporate unstructured data such as images, videos, or text into forecasting and valuation pipelines using AI models.

Job description

About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.
About the Role
We're looking for an Applied Scientist (ALL LEVELS) to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems - ensuring we provide the most accurate and transparent pricing possible - the scope goes well beyond pricing. You'll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.
What You'll Need
  • Strong software engineering and coding skills in Python, with experience contributing to production codebases
  • Experience developing and deploying ML models end-to-end - from research and prototyping to implementation in production systems
  • Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar
  • Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field
  • Solid foundation in statistics and experimental design
  • Strong communication and collaboration skills - you're comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have
  • Familiarity with Pyspark and distributed data processing
  • Background in search, recommendation systems, or personalization
  • Experience working with large language models (LLMs) or vision-language models (VLMs)
  • A genuine interest in real estate - no prior experience required, but you'll engage deeply with housing data

What You'll Do
  • Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models
  • Build interpretable ML models that can help us explain pricing decisions to customers
  • Incorporate unstructured data - like images, videos, or text - into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.)
  • Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems
  • Improve the feature engineering and model training pipelines that power our production systems
  • Rethink our risk and optimization models using real-world data and domain insight
  • We're a small, nimble team - there's ample opportunity to work across the entire research and modeling stack.

Compensation
The base pay range for this position is $156,800-$355,000 annually, plus RSUs. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
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