1

Pytorch Jobs in Illinois (NOW HIRING)

... PyTorch . This role requires strong technical skills in machine learning, programming, and algorithms, as well as effective collaboration with data scientists, software developers, and business ...

PyTorch * Tableau * Power BI * AWS Benefits * Health Insurance * Paid Time Off * Flexible Work Schedule * Learning & Development * 401(k) * Career Growth Opportunities

Sr. AI/ML Engineer

Deerfield, IL ยท 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 II

Chicago, IL ยท On-site

$108K - $136K/yr

Familiarity with pytorch, pandas and cloud platform like AWS, Azure and GCP * Prompt engineering experience * Experience using a machine learning framework e.g. scikit-learn, pytorch or similar

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 ...

Machine Learning Engineer II

Chicago, IL ยท On-site

$108K - $136K/yr

Familiarity with pytorch, pandas and cloud platform like AWS, Azure and GCP * Prompt engineering experience * Experience using a machine learning framework e.g. scikit-learn, pytorch or similar

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Lead Generative AI Data Engineer III

Chicago, IL ยท 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 ...

next page

Showing results 1-20

Pytorch information

See Illinois salary details

$70.6K

$126.6K

$181.6K

How much do pytorch jobs pay per year?

As of Aug 1, 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 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 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 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 are the most commonly searched types of Pytorch jobs in Illinois? The most popular types of Pytorch jobs in Illinois are:
Infographic showing various Pytorch job openings in Illinois as of July 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $126,637 per year, or $60.9 per hour.

AI/ML Engineer

Resource Point LLC

Chicago, IL โ€ข On-site

Contractor

Re-posted 27 days ago


Job description

Position: AI/ML Engineer

Duration: 12 months

Location: Chicago, IL

Job Description

An AI/ML Engineer designs, develops, and deploys production-ready artificial intelligence and machine learning models and systems, managing data pipelines, running experiments, and training models using programming languages like Python and frameworks such as TensorFlow and PyTorch. This role requires strong technical skills in machine learning, programming, and algorithms, as well as effective collaboration with data scientists, software developers, and business stakeholders to align AI solutions with organizational goals.

Key Responsibilities

  • Model Development: Research, design, and implement machine learning algorithms and applications to solve business problems.
  • Data Pipeline Management: Build and manage scalable data pipelines for preprocessing, feature engineering, and data flow to train and evaluate ML models.
  • Model Training and Deployment: Train, test, and tune machine learning models, ensuring they meet quality standards and deploying them into production environments.
  • Performance Monitoring and Optimization: Monitor the performance of trained models, retrain them as needed, and optimize them for better performance.
  • Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI into applications and achieve project goals.
  • Stay Updated: Keep abreast of emerging AI and machine learning technologies and best practices to enhance institutional capabilities.

Required Skills & Qualifications

  • Programming Languages: Proficiency in Python, Java, or R, Golang
  • Machine Learning Frameworks: Expertise in tools and libraries like TensorFlow, PyTorch, and scikit-learn.
  • Concepts: Deep understanding of machine learning, deep learning, data mining, algorithms, and computer vision.
  • Tools: Familiarity with Git for version control and cloud platforms for scalable solutions.
  • Soft Skills: 
  • Collaboration: Ability to work effectively in multidisciplinary teams.
  • Communication: Excellent communication skills to explain complex technical concepts to both technical and non-technical stakeholders. 
  • Problem-Solving: Strong analytical and problem-solving skills to design and implement effective AI solutions.