Machine Learning Engineer
Orlando, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Orlando, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Melbourne, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Melbourne, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Tallahassee, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Tallahassee, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Miami, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Miami, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Hialeah, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Hialeah, FL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
... analysis, and research presentations. Responsibilities : • Develop machine learning and deep learning methods for analyzing large-scale single-cell DNA-seq, RNA-seq, ATAC-seq and spatial ...
... analysis, and research presentations. Responsibilities : • Develop machine learning and deep learning methods for analyzing large-scale single-cell DNA-seq, RNA-seq, ATAC-seq and spatial ...
Develop, implement, and evaluate machine learning and deep learning models for biological data ... Prior research experience with publications or preprints. The University of Miami offers ...
Develop, implement, and evaluate machine learning and deep learning models for biological data ... Prior research experience with publications or preprints. The University of Miami offers ...
Develop, implement, and evaluate machine learning and deep learning models for biological data ... Prior research experience with publications or preprints. The University of Miami offers ...
Develop, implement, and evaluate machine learning and deep learning models for biological data ... Prior research experience with publications or preprints. The University of Miami offers ...
Preferred: * Demonstrated expertise in AI-driven drug discovery, machine and deep learning, computational chemistry, computational biology, or bioinformatics research * Self-motivation and ...
Preferred: * Demonstrated expertise in AI-driven drug discovery, machine and deep learning, computational chemistry, computational biology, or bioinformatics research * Self-motivation and ...
Banking AI Engineer
Tampa, FL · On-site
... learning and deep learning models using PyTorch TensorFlow and related frameworks • LLM ... Research • Stay uptodate with emerging AI technologies evaluate new tools and prototype ...
Banking AI Engineer
Tampa, FL · On-site
... learning and deep learning models using PyTorch TensorFlow and related frameworks • LLM ... Research • Stay uptodate with emerging AI technologies evaluate new tools and prototype ...
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...
... deep learning to address complex biomedical and clinical challenges across translational research and patient care. The Research Fellow will play a central role in advancing AI-driven discovery ...
... deep learning to address complex biomedical and clinical challenges across translational research and patient care. The Research Fellow will play a central role in advancing AI-driven discovery ...
... deep learning to address complex biomedical and clinical challenges across translational research and patient care. The Research Fellow will play a central role in advancing AI-driven discovery ...
... deep learning to address complex biomedical and clinical challenges across translational research and patient care. The Research Fellow will play a central role in advancing AI-driven discovery ...
Research Intern on Generative and Protective AI for Content Creation
Jacksonville, FL · On-site
$50/hr
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...
Research Intern on Generative and Protective AI for Content Creation
Jacksonville, FL · On-site
$50/hr
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...
Deep Learning Research information
See Florida salary details
$17.1K - $44.6K
9% of jobs
$44.6K - $72.1K
6% of jobs
$72.1K - $99.6K
6% of jobs
$102.7K is the 25th percentile. Wages below this are outliers.
$99.6K - $127.1K
27% of jobs
The median wage is $128.2K / yr.
$127.1K - $154.5K
26% of jobs
$154.5K - $182K
15% of jobs
$182K - $209.5K
6% of jobs
$209.5K - $237K
2% of jobs
$237K - $264.5K
0% of jobs
$264.5K - $292K
0% of jobs
$292K - $319.4K
2% of jobs
$17.1K
$145.9K
$319.4K
How much do deep learning research jobs pay per year?
As of Aug 13, 2026, the average yearly pay for deep learning research in Florida is $145,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,337.00 and $168,878.00 per year, depending on experience, location, and employer.
What are some common challenges faced by professionals working in deep learning research?
Professionals in Deep Learning Research often encounter challenges such as working with large and complex datasets, ensuring model interpretability, and managing limited computational resources. Staying up-to-date with the rapidly evolving literature and adapting to new techniques or frameworks is also crucial. Additionally, translating research results into practical, scalable applications and collaborating with cross-functional teams can be both demanding and rewarding. Overcoming these challenges requires a combination of technical expertise, creativity, and strong communication skills, making each day dynamic and intellectually stimulating.
What are the key skills and qualifications needed to thrive in deep learning research?
To thrive in Deep Learning Research, you need a strong background in mathematics, computer science, and machine learning principles, often backed by advanced degrees such as an MSc or PhD. Experience with programming languages like Python, proficiency in frameworks such as TensorFlow or PyTorch, and familiarity with high-performance computing resources are highly valuable. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas effectively are essential soft skills. These capabilities ensure you can design, implement, and present innovative deep learning solutions that advance research and address real-world challenges.
What is deep learning research?
A Deep Learning Research job involves investigating and developing advanced machine learning techniques, particularly deep neural networks, to improve AI performance. Researchers design new models, optimize algorithms, and experiment with architectures to solve complex problems in areas like computer vision, natural language processing, and reinforcement learning. They often work in academia, industry, or research labs, publishing findings in conferences and collaborating with engineers to integrate advancements into real-world applications.
What are popular job titles related to Deep Learning Research jobs in Florida?
For Deep Learning Research jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Deep Learning Research jobs in Florida look for?
The top searched job categories for Deep Learning Research jobs in Florida are:
Full-time
Re-posted 27 days ago
Job description
About Us
We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.
We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.
What You'll Be Working On
You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.
Must-Have Skills
3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production
Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)
Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior
Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives
Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)
Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination