Machine Learning Engineer
Tulsa, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Tulsa, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Tulsa, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Norman, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Norman, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Edmond, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Edmond, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Lawton, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Lawton, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Norman, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Norman, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Broken Arrow, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Broken Arrow, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Lawton, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Lawton, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Oklahoma City, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Oklahoma City, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Broken Arrow, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Broken Arrow, OK · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
As an Applied AI Engineer Intern in Basketball Operations, your work is vital to uncovering ... Advanced proficiency in Python and relevant ML libraries such as PyTorch, TensorFlow, or JAX
As an Applied AI Engineer Intern in Basketball Operations, your work is vital to uncovering ... Advanced proficiency in Python and relevant ML libraries such as PyTorch, TensorFlow, or JAX
As an Applied AI Engineer Intern in Basketball Operations, your work is vital to uncovering ... Advanced proficiency in Python and relevant ML libraries such as PyTorch, TensorFlow, or JAX
As an Applied AI Engineer Intern in Basketball Operations, your work is vital to uncovering ... Advanced proficiency in Python and relevant ML libraries such as PyTorch, TensorFlow, or JAX
Oklahoma City, OK · On-site
$95K - $125K/yr
... PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud ...
Oklahoma City, OK · On-site
$95K - $125K/yr
... PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud ...
Tulsa, OK · On-site
$93K - $123K/yr
... PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud ...
Tulsa, OK · On-site
$93K - $123K/yr
... PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud ...
Academic experience and projects applying Python for general programming tasks and excuting AI model training experiments and evaluation * Familiarity with AI tools such as PyTorch, TensorFlow ...
Academic experience and projects applying Python for general programming tasks and excuting AI model training experiments and evaluation * Familiarity with AI tools such as PyTorch, TensorFlow ...
Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... PyTorch/TensorFlow), and data platforms such as Databricks and cloud services. * Experience ...
Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... PyTorch/TensorFlow), and data platforms such as Databricks and cloud services. * Experience ...
Collaborate with engineering, product, and data science teams to understand requirements ... Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems ...
Collaborate with engineering, product, and data science teams to understand requirements ... Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems ...
Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... PyTorch/TensorFlow), and data platforms such as Databricks and cloud services. * Experience ...
Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... PyTorch/TensorFlow), and data platforms such as Databricks and cloud services. * Experience ...
| Aspect | Pytorch Developer | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Bachelor's or higher in CS, experience with PyTorch | Bachelor's or higher in CS, data science, or related field, with ML experience |
| Work Environment | Research labs, AI startups, tech companies focusing on deep learning | Tech companies, finance, healthcare, often involving deployment and scaling ML models |
| Industry Usage | Primarily in AI research and development teams | Across industries implementing ML solutions in production |
While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.
For Pytorch Developer jobs in Oklahoma, the most frequently searched job titles are:
The top searched job categories for Pytorch Developer jobs in Oklahoma are:
Cities in Oklahoma with the most Pytorch Developer job openings:

Full-time
Re-posted 21 days ago
Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues
Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams
Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics
Implement methods from recent ML papers quickly and turn them into production-grade systems