Machine Learning Engineer
Pensacola, 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 ...
Pensacola, 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 ...
Pensacola, 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 ...
Lake Worth, 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 ...
Lake Worth, 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 ...
Davie, FL · On-site
$104K - $126K/yr
Experience with machine learning frameworks like TensorFlow or PyTorch. Education: Minimum Master's in Data Science and Compute Science - Graduate in recent years a. Data Analysis: Analyze large ...
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Davie, FL · On-site
$104K - $126K/yr
Experience with machine learning frameworks like TensorFlow or PyTorch. Education: Minimum Master's in Data Science and Compute Science - Graduate in recent years a. Data Analysis: Analyze large ...
Machine Learning Frameworks Hands-on experience with modern deep learning frameworks such as TensorFlow or PyTorch. Statistical Modeling Deep understanding of statistical concepts and a wide range of ...
Machine Learning Frameworks Hands-on experience with modern deep learning frameworks such as TensorFlow or PyTorch. Statistical Modeling Deep understanding of statistical concepts and a wide range of ...
Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. * Advanced Anomaly Detection with Graph: Track record developing hybrid ...
New
Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. * Advanced Anomaly Detection with Graph: Track record developing hybrid ...
New
Hands-on expertise with machine learning frameworks (TensorFlow, Scikit-learn, PyTorch). * Familiarity with Azure cloud platforms, data warehousing solutions, and Microsoft Fabric. * Experience with ...
Hands-on expertise with machine learning frameworks (TensorFlow, Scikit-learn, PyTorch). * Familiarity with Azure cloud platforms, data warehousing solutions, and Microsoft Fabric. * Experience with ...
Tampa, FL · On-site
Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...
Tampa, FL · On-site
Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...
Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. * Advanced Anomaly Detection with Graph: Track record developing hybrid ...
New
Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. * Advanced Anomaly Detection with Graph: Track record developing hybrid ...
New
Gainesville, FL · On-site +1
Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. * A track record of first-author publications in peer-reviewed journals.
Gainesville, FL · On-site +1
Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. * A track record of first-author publications in peer-reviewed journals.
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 ...
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 ...
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 ...
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 ...
... PyTorch, Scikit-learn) • Experience with LLMs and Generative AI frameworks • Exposure to Cloud platforms (Azure/AWS/GCP) • Knowledge of APIs, microservices, Docker, Kubernetes Preferred Skills ...
... PyTorch, Scikit-learn) • Experience with LLMs and Generative AI frameworks • Exposure to Cloud platforms (Azure/AWS/GCP) • Knowledge of APIs, microservices, Docker, Kubernetes Preferred Skills ...
Tampa, FL · On-site
... PyTorch (TensorFlow experience acceptable) • Airflow for job orchestration, particularly managing resources between training and inference workloads • Strong Kubernetes experience including ...
Tampa, FL · On-site
... PyTorch (TensorFlow experience acceptable) • Airflow for job orchestration, particularly managing resources between training and inference workloads • Strong Kubernetes experience including ...
D. in Computer Science, Computational/Electrical Engineering, AI/ML, or related field. • Technical Expertise: o Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow). o Experience ...
D. in Computer Science, Computational/Electrical Engineering, AI/ML, or related field. • Technical Expertise: o Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow). o Experience ...
Melbourne, FL · On-site
PyTorch, TensorFlow/Keras, scikit-learn, MXNet). Experience working with large data sets and ability to extract relevant information from data sets. The ability to obtain and maintain a US security ...
Melbourne, FL · On-site
PyTorch, TensorFlow/Keras, scikit-learn, MXNet). Experience working with large data sets and ability to extract relevant information from data sets. The ability to obtain and maintain a US security ...
Hands-on experience with Machine Learning and Artificial Intelligence frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar. * Experience with Generative AI, Large Language Models (LLMs ...
Hands-on experience with Machine Learning and Artificial Intelligence frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar. * Experience with Generative AI, Large Language Models (LLMs ...
PyTorch, TensorFlow/Keras, scikit-learn, MXNet). Experience working with large data sets and ability to extract relevant information from data sets. The ability to obtain and maintain a US security ...
PyTorch, TensorFlow/Keras, scikit-learn, MXNet). Experience working with large data sets and ability to extract relevant information from data sets. The ability to obtain and maintain a US security ...
Gainesville, FL · On-site
$61K - $65K/yr
... g., Pytorch. Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Gainesville, FL · On-site
$61K - $65K/yr
... g., Pytorch. Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Solid Python skills and exposure to PyTorch, particularly around data loading or multimodal datasets * Coursework or project experience with computer vision, time-series data, or sensor processing
Solid Python skills and exposure to PyTorch, particularly around data loading or multimodal datasets * Coursework or project experience with computer vision, time-series data, or sensor processing
Expert-level proficiency in Python and relevant libraries (e.g., FastAPI, Pydantic, PyTorch, HuggingFace Ecosystem). • Experience with LLM-based pipelines: Proven experience in building and ...
Expert-level proficiency in Python and relevant libraries (e.g., FastAPI, Pydantic, PyTorch, HuggingFace Ecosystem). • Experience with LLM-based pipelines: Proven experience in building and ...
$64.1K - $73.3K
11% of jobs
$81.7K is the 25th percentile. Wages below this are outliers.
$73.3K - $82.4K
16% of jobs
$82.4K - $91.6K
16% of jobs
$91.6K - $100.8K
5% of jobs
$100.8K - $109.9K
0% of jobs
$109.9K - $119.1K
0% of jobs
$119.1K - $128.3K
1% of jobs
The median wage is $128.9K / yr.
$128.3K - $137.4K
22% of jobs
$140K is the 75th percentile. Wages above this are outliers.
$137.4K - $146.6K
16% of jobs
$146.6K - $155.7K
3% of jobs
$155.7K - $164.9K
11% of jobs
$64.1K
$115K
$164.9K
To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.
As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.
A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

Full-time
Posted 28 days ago
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