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Pytorch Jobs in Illinois (NOW HIRING)

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 ...

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

TensorFlow, PyTorch, Keras, OpenCV * Proven experience in Computer Vision tasks, including object detection, segmentation, and OCR * Experience training and fine-tuning models such as: YOLOv5/v8 ...

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

Apply ML/AI tools like TensorFlow/PyTorch to build and train models for various applications. Interface with databases to gather relevant information for analysis and modeling. Fuse and correlate ...

ML Engineer

Chicago, IL · On-site

$180 - $260/hr

Strong Python skills with deep experience in PyTorch and/or JAX. * Hands-on experience with distributed training and model serving. * Practical knowledge of transformer architectures and evaluation ...

New

Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc. * Exposure to Geo Spatial Data, Demography Data * Experience with SQL Development, Stored Procedures, Data Analysis and Data ...

Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc. * Exposure to Geo Spatial Data, Demography Data * Experience with SQL Development, Stored Procedures, Data Analysis and Data ...

... PyTorch • Proven experience in ML engineering • Strong programming skills (Python, R) • Cloud services and infrastructure knowledge • Agile methodologies understanding Company : Inspire11 is ...

Lead Generative AI Data Engineer III

Chicago, IL · On-site

$105K - $139K/yr

Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow. * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you ...

Senior AI Engineer

Chicago, IL · On-site

$180K - $220K/yr

Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face * Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern ...

Senior AI Engineer

Chicago, IL · On-site

$180K - $220K/yr

Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face * Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern ...

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 ...

Senior AI/ML Engineer

Oak Brook, IL · On-site

$140 - $190/hr

Fluency inPython and strong expertise with modern ML frameworks (PyTorch, TensorFlow, orJAX). * SoftwareEngineering: Strongfundamentals in object-oriented/functional programming, system design ...

Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax * Strong understanding of theoretical foundations of ...

Showing results 21-40

Pytorch information

See Illinois salary details

$70.6K

$126.6K

$181.6K

How much do pytorch jobs pay per year?

As of Sep 3, 2026, the average yearly pay for pytorch in Illinois is $126,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,380.00 and $154,875.00 per year, depending on experience, location, and employer.

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.

Infographic showing various Pytorch job openings in Illinois as of August 2026, with employment types broken down into 2% Internship, 94% Full Time, 2% Part Time, and 2% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $126,637 per year, or $60.9 per hour.

Machine Learning Engineer

Bespoke Labs

Peoria, IL • On-site

Full-time

Re-posted 17 days ago


Job description

  • 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