Machine Learning Engineer
Terre Haute, IN · 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 ...
Machine Learning Engineer
Terre Haute, IN · 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 ...
Machine Learning Engineer
Hammond, IN · 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 ...
Machine Learning Engineer
Hammond, IN · 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 ...
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 ...
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 ...
Machine Learning Engineer
South Bend, IN · 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 ...
Machine Learning Engineer
South Bend, IN · 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 ...
Machine Learning Engineer
Gary, IN · 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 ...
Machine Learning Engineer
Gary, IN · 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 ...
Machine Learning Engineer
Fort Wayne, IN · 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 ...
Machine Learning Engineer
Fort Wayne, IN · 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 ...
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 ...
Machine Learning Engineer
Evansville, IN · 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 ...
Machine Learning Engineer
Evansville, IN · 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 ...
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 ...
Senior Data Scientist
Columbus, IN · On-site
$80K - $90K/yr
Develop and deploy predictive models using machine learning frameworks like scikit-learn, TensorFlow, or PyTorch to forecast business outcomes. • Data Analysis and Interpretation: Analyze large ...
Senior Data Scientist
Columbus, IN · On-site
$80K - $90K/yr
Develop and deploy predictive models using machine learning frameworks like scikit-learn, TensorFlow, or PyTorch to forecast business outcomes. • Data Analysis and Interpretation: Analyze large ...
Advisor - Agent Research
Indianapolis, IN · On-site
Python; deep learning frameworks (PyTorch, TensorFlow, JAX, HuggingFace). * RL and post-training methods (PPO, GRPO, DPO, reward modeling, RLHF/RLAIF) and libs (TRL, verl, or equivalents)
Advisor - Agent Research
Indianapolis, IN · On-site
Python; deep learning frameworks (PyTorch, TensorFlow, JAX, HuggingFace). * RL and post-training methods (PPO, GRPO, DPO, reward modeling, RLHF/RLAIF) and libs (TRL, verl, or equivalents)
Senior AI/ML Engineer
$93K - $128K/yr
Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow). * Strong background in software and cyber engineering principles, including system hardening ...
Quick apply
Senior AI/ML Engineer
$93K - $128K/yr
Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow). * Strong background in software and cyber engineering principles, including system hardening ...
Senior AI/ML Engineer
Bedford, IN · On-site
$93K - $128K/yr
Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow). * Strong background in software and cyber engineering principles, including system hardening ...
Senior AI/ML Engineer
Bedford, IN · On-site
$93K - $128K/yr
Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow). * Strong background in software and cyber engineering principles, including system hardening ...
Applied AI Scientist
Indianapolis, IN · On-site
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 ...
Applied AI Scientist
Indianapolis, IN · On-site
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 ...
Implement classical ML solutions using scikit-learn, PyTorch/TensorFlow , including training, evaluation, inference, monitoring, and model lifecycle management. * Develop AI/ML evaluation frameworks ...
Implement classical ML solutions using scikit-learn, PyTorch/TensorFlow , including training, evaluation, inference, monitoring, and model lifecycle management. * Develop AI/ML evaluation frameworks ...
Pytorch information
What is a PyTorch job?
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.
What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?
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.
What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?
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.
What are popular job titles related to Pytorch jobs in Indiana?
For Pytorch jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Pytorch jobs in Indiana look for?
The top searched job categories for Pytorch jobs in Indiana are:
Machine Learning Engineer
Terre Haute, IN • On-site
Bespoke Labs
Full-time
Re-posted 27 days ago
Job description
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Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch
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Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration
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Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues
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Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy
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Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams
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Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics
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Implement methods from recent ML papers quickly and turn them into production-grade systems