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Pytorch Developer Jobs in Illinois (NOW HIRING)

As an AI Engineer, you will work on high-impact machine learning and artificial intelligence ... PyTorch, TensorRT, or ONNX. • Experience with Large Language Models, including RAG and fine ...

$28 - $30/hr

AI Engineer Location: Remote Type: Corp to Corp Start Date: ASAP Pay Rate: $28-$30 per hour ... Practical experience with spaCy, Pandas, NumPy, PyTorch, and advanced text analytics. * Knowledge ...

... PyTorch, JAX, TensorFlow, Neural Networks, Transformer Models, Retrieval Augmented Generation, RAG, Synthetic Data, Data Engineering, Data Pipelines, ETL, Data Processing, Web Crawling, Data ...

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language ... Strong Python plus PyTorch or JAX * Experience with large‑scale data pipelines and experiment ...

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language ... Strong Python plus PyTorch or JAX * Experience with largescale data pipelines and experiment ...

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language ... Strong Python plus PyTorch or JAX * Experience with large‑scale data pipelines and experiment ...

Job Title: GCP AI/ML Engineer Duration: 6 months Contract to hire Location: Chicago is the ... Experience with TensorFlow, PyTorch, or Scikit-learn. * Familiarity with Kubeflow Pipelines or ...

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language ... Strong Python plus PyTorch or JAX * Experience with large-scale data pipelines and experiment ...

Job Title: GCP AI/ML Engineer Duration: 6 months Contract to hire Location: Chicago is the ... Experience with TensorFlow, PyTorch, or Scikit-learn. * Familiarity with Kubeflow Pipelines or ...

We're looking for researchers and experienced engineers from any background. Trading experience is ... PyTorch/TensorFlow * Proficiency in Python, C++, or similar languages for tooling, testing, and ...

... engineering or threat response acceleration • Experience parsing and normalizing cyber or information technology telemetry datasets • Experience with PyTorch, Keras, TensorFlow, Scikit-learn ...

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX * Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT) * Experience with ...

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX * Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT) * Experience with ...

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX * Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT) * Experience with ...

AI Engineer

Peoria, IL · On-site

$75K - $110K/yr

AI Engineer Location: Peoria, IL Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or ... Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

AI Engineer Location: Peoria, IL Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or ... Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross 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.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What cities in Illinois are hiring for Pytorch Developer jobs? Cities in Illinois with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Illinois as of June 2026, with employment types broken down into 82% Full Time, 5% Part Time, 12% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
AI Engineer

AI Engineer

DRW

Chicago, IL • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary:
DRW is a diversified trading firm with over 3 decades of experience in markets around the world. As an AI Engineer, you will work on high-impact machine learning and artificial intelligence initiatives, building infrastructure and tooling to enhance productivity and efficiency within a collaborative multi-asset trading team.
Responsibilities:
• Drive end-to-end development of AI infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.
• Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.
• Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability.
• Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments.
• Create and maintain feature pipelines, feature stores, and model stores.
• Develop frameworks to enable scalable, reproducible research.
• Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.
Qualifications:
Required:
• Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 3+ years of experience working with machine learning and artificial intelligence technology.
• Strong understanding of core machine learning and artificial intelligence concepts.
• Excellent programming skills in Python.
• Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models.
• Hands-on experience with MLOps and AIOps infrastructure and tooling.
• Proficient in problem-solving and analytical reasoning.
• Exceptional communication and collaboration skills.
• Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX.
• Experience with Large Language Models, including RAG and fine-tuning techniques.
• Familiarity with compute infrastructure necessary to support operating AI and ML technology.
Company:
DRW is a diversified trading firm that combines technology, research, and risk management to capture trading and investment opportunities. Founded in 1992, the company is headquartered in Chicago, USA, with a team of 1001-5000 employees. The company is currently Late Stage.