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Generative Ai Researcher Jobs in Florida (NOW HIRING)

Optimum7

AI SEO Specialist Zen Media

Miami, FL · On-site

... when researching vendors, comparing solutions, and building shortlists. Zen Media is helping define the next evolution of search: AI Visibility. We analyze how brands appear inside generative AI ...

Optimum7

AI SEO Specialist Zen Media

Miami, FL · On-site +1

... when researching vendors, comparing solutions, and building shortlists. Zen Media is helping define the next evolution of search: AI Visibility. We analyze how brands appear inside generative AI ...

247Hire

Machine Learning Engineer

Orlando, FL · On-site

$120 - $160/hr

Research & Advanced Techniques: Implement cutting‑edge generative AI techniques: diffusion models, transformer variants, mixture of experts * Develop constitutional AI and AI safety techniques for ...

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Generative Ai Researcher information

What does a generative AI researcher do?

A Generative AI Researcher studies and develops artificial intelligence models that can create new content such as text, images, music, or code. They work on advancing algorithms like generative adversarial networks (GANs), variational autoencoders (VAEs), and large language models to improve their performance and applications. Their work often involves designing experiments, analyzing data, publishing research, and collaborating with other scientists and engineers to push the boundaries of AI creativity and utility.

What are some common challenges generative AI researchers face when transitioning models from research to production environments?

Generative AI Researchers often encounter challenges when moving models from experimental research settings into real-world production. These challenges include ensuring models are robust to diverse, unseen data, optimizing for computational efficiency, and addressing potential biases or ethical concerns present in generated outputs. Collaboration with engineering teams is key to deploying scalable solutions, while ongoing monitoring is necessary to maintain model performance and compliance. Researchers should be prepared to iterate on their models post-deployment based on feedback and real-world results.

What are the key skills and qualifications needed to thrive as a generative AI researcher, and why are they important?

To thrive as a Generative AI Researcher, you need a strong background in computer science, mathematics, and machine learning, typically supported by an advanced degree (Master's or PhD) in a relevant field. Proficiency in programming languages such as Python, experience with deep learning frameworks like TensorFlow or PyTorch, and familiarity with research tools and publication processes are essential. Creative problem-solving, critical thinking, and effective collaboration skills help researchers innovate and communicate complex ideas. These skills and qualities are crucial for advancing AI technologies, publishing impactful research, and driving progress in this rapidly evolving field.

What is the difference between Generative Ai Researcher vs Machine Learning Engineer?

AspectGenerative Ai ResearcherMachine Learning Engineer
CredentialsAdvanced degrees in AI, Computer Science, or related fields; research experienceDegree in Computer Science, Data Science, or related fields; coding skills
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, product teams
Industry UsageFocus on developing generative models like GANs, VAEs, transformersImplementing ML models for various applications, including generative tasks

While both roles involve AI and machine learning, Generative Ai Researchers primarily focus on developing new generative models and advancing AI research, often working in academic or research settings. Machine Learning Engineers typically implement and deploy ML models in production environments across industries. The roles overlap in skills and tools but differ in their core focus and work environment.

What are popular job titles related to Generative Ai Researcher jobs in Florida?

For Generative Ai Researcher jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Generative Ai Researcher jobs in Florida look for?

The top searched job categories for Generative Ai Researcher jobs in Florida are:

What cities in Florida are hiring for Generative Ai Researcher jobs?

Cities in Florida with the most Generative Ai Researcher job openings:

Generative Ai Researcher jobs near you
Infographic showing various Generative Ai Researcher job openings in Florida as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Sr Data Engineer - Gen AI/ML - Tampa

Coral Springs, FL

Photon
1 - 10 employees
Learn more about Photonexternal

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

Key Responsibilities: 

Model Development: Design and develop algorithms for generative models using deep learning techniques. 

Collaboration: Work with cross-functional teams to integrate generative AI solutions into existing systems. 

Research: Stay updated on the latest advancements in generative AI technologies and methodologies. 

Optimization: Fine-tune models for performance and efficiency. 

Troubleshooting: Address and resolve issues related to generative AI models and implementations. 

Documentation: Create and maintain comprehensive documentation for AI models and their applications. 

Communication: Explain complex technical concepts to non-technical stakeholders. 

Required Skills and Qualifications: 

6+ years of strong background in machine learning and deep learning algorithms. 

Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch. 

Familiarity with natural language processing (NLP) techniques and transformer models (e.g., GPT, BERT) 

Hands on experience with prompt structures and fine-tune model outputs to align with business needs and user expectations. 

Experience with generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). 

Skills in data preprocessing and feature engineering for AI model training. 

Strong understanding of neural network architectures and optimization techniques. 

Experience in deploying AI models into production environments. 

Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. 

Compensation, Benefits and Duration

Minimum Compensation: USD 42,000
Maximum Compensation: USD 148,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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