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Applied Computer Science Jobs in Florida (NOW HIRING)

JP Morgan Chase

Applied AI/ML Lead

Tampa, FL · On-site

Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in applied ML/AI roles with at least 2+ years leading teams or large-scale ML initiatives * Advanced ...

JPMorgan Chase & Co

Applied AI/ML Lead

Tampa, FL · On-site

Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in applied ML/AI roles with at least 2+ years leading teams or large-scale ML initiatives * Advanced ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in applied ML/AI roles with at least 2+ years leading teams or large-scale ML initiatives * Advanced ...

Kohl\'s

Data Scientist I

Tallahassee, FL

Bachelor's of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field * 2+ years of progressively complex data science or analytics experience ...

Maximus

Chief Data Scientist

Tampa, FL · On-site

... Computer Science, Mathematics, Statistics, Engineering, or a related technical field (Master's or PhD preferred). - 10+ years of experience in data science, analytics, and 5 years of applied AI ...

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Applied Computer Science information

What is an Applied Computer Science job?

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 to thrive in the Applied Computer Science position, and why are they important?

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 jobs make $3,000 a day?

In applied computer science, high-paying roles such as software architects, senior data scientists, and cybersecurity consultants can earn $3,000 or more per day, especially when working on large projects or consulting for major clients. These positions often require advanced skills, certifications, and extensive experience in specialized areas like cloud computing, machine learning, or security architecture.

Is applied computer science a good degree?

Applied computer science is a valuable degree for careers in software development, data analysis, and systems engineering. It provides practical skills in programming, algorithms, and problem-solving that are in high demand across various industries.

What engineers make $500,000?

Senior software engineers, especially those in specialized fields like machine learning, cloud computing, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and working at large tech companies or startups with significant funding.

What are some common career advancement opportunities for professionals 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.

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
Perception & Fusion Engineer

Perception & Fusion Engineer

Applied Intuition

Freeport, FL • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
Applied Intuition is a Silicon Valley company powering the future of physical AI, creating digital infrastructure for autonomous vehicles. The Perception & Fusion Engineer will develop and integrate real-time sensor software solutions for various autonomous platforms, focusing on sensor fusion algorithms and customer interaction.
Responsibilities:
• Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to collect relevant information across a suite of platform sensors
• Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF)
• Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of heterogeneous platform swarms in on-site DoD testing and demonstration events
• Deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data
• Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
• Work closely with our existing team to internally triage technical problems and scope
• Carefully communicate and document ongoing work to ensure internal flexibility in a fast paced environment as well as clarify progress with external customers
• Drive execution of simulation tooling to playback sensors, platforms, and autonomy in post processing field test analysis
• Implement improvement plans for future integration efforts based on simulation analysis and customer feedback
Qualifications:
Required:
• MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience working with sensor algorithms, hardware, and HIL software integration
• Experience with multiple sensor modalities (e.g., EO, IR, lidar, radar, sonar, acoustics, etc.)Core understanding of sensor physics and sensor control parameters
• Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)
• Experience with state of the art estimation, tracking, and fusion algorithms.
• Experience working comfortably in Linux and Docker
• Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision
• Must be willing to travel as projects requires, usually for SW/HW integration and/or demonstrations; estimated average travel is every 1-2 months for 2-5 days (10-20%)
• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance
Preferred:
• Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash
• PhD in computer science or electrical engineering with AI/ML focus
• Experience with robotic swarm or multi-agent systems and optimization
• Strong tracking and sensor fusion background
• Current U.S. SECRET security clearance
Company:
Applied Intuition provides software infrastructure to safely develop, test, and deploy autonomous vehicles
 at scale. Founded in 2017, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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