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Pytorch Developer Jobs in Illinois (NOW HIRING)

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.

... 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 ...

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.

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 ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...

AI Technical Architect

Chicago, IL · On-site

$68.25 - $82.50/hr

We're seeking a senior AI/ML Engineer with minimum 9-10 yrs experience who can serve as a Technical ... PyTorch, Scikit-learn, OpenCV and/or Keras. * Knowledge of math, probability, and statistics.

Lead AI Engineer

Chicago, IL · On-site

$180K - $200K/yr

Lead AI Engineer Location: Remote (United States), Eastern time zone preferred. Hybrid ... PyTorch. * Experience integrating LLMs with enterprise applications, multi-agent orchestration ...

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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 July 2026, with employment types broken down into 88% Full Time, 2% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Founding Engineer / Node / React / Typescript

Founding Engineer / Node / React / Typescript

Motion Recruitment

Chicago, IL • On-site

Other

Medical, Dental, Vision, PTO

Re-posted 14 days ago


Job description

A fast-growing Insurtech startup leveraging cutting-edge AI, NLP, and LLM technologies is looking for a highly hands-on Founding Engineer to join the team. Our mission is to revolutionize the insurance industry by streamlining workflows, enhancing risk assessment, and delivering smarter, faster, and more personalized experiences for policyholders.
As our Founding Engineer, you will play a pivotal role in shaping our technology stack, driving architectural decisions, and building a scalable, AI-driven platform from the ground up. This role requires a true generalist—someone who thrives in a 100% hands-on environment and is comfortable working across frontend, backend, data engineering, and infrastructure. If you have a strong full-stack product engineering background and have built UI and backend applications used by external customers, this is an opportunity to make a significant impact.
Required Skills & Experience
  • 5+ years of experience in full-stack software engineering, preferably in AI-driven or data-intensive applications.
  • Proven track record of building customer-facing applications—both UI and backend—from scratch.
  • Strong frontend skills with modern frameworks (React, Vue, etc.) and backend expertise (Node.js, Python, Go, or similar).
  • Deep understanding of AI/ML/NLP, including experience with LLMs (GPT, BERT, etc.) and AI model deployment.
  • Experience designing data pipelines using Airflow, Spark, Kafka, or similar technologies.
  • Expertise in cloud infrastructure (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker).
  • Hands-on DevOps skills—building CI/CD pipelines, automating deployments, and managing infrastructure-as-code (Terraform).
Desired Skills & Experience
  • Experience working in early-stage startups, wearing multiple hats, and making things happen.
  • Exposure to vector databases (Pinecone, FAISS, Weaviate) for NLP applications.
  • Experience with MLOps frameworks (MLflow, SageMaker, etc.).
  • Contributions to open-source AI/ML projects.
What You Will Be Doing
Tech Breakdown
  • 35%: Full-Stack Development – Building customer-facing applications, both frontend and backend, using React, Vue, Node.js, Python, Go, TypeScript, GraphQL, REST APIs.
  • 20%: AI/ML Integration & Model Deployment – Implementing NLP/LLM-based models, optimizing inference with TensorFlow, PyTorch, Hugging Face, GPT, BERT, FAISS, Pinecone.
  • 15%: Cloud & Infrastructure Management – Managing cloud environments, ensuring security and scalability using AWS (EC2, S3, Lambda, RDS), GCP, Azure.
  • 10%: Data Engineering & Pipelines – Designing and optimizing ETL workflows and real-time processing with Airflow, Spark, Kafka, SQL, NoSQL (DynamoDB, PostgreSQL, Redis).
  • 10%: DevOps & Automation – Building CI/CD pipelines, container orchestration, and infrastructure-as-code using Docker, Kubernetes, Terraform, Jenkins, GitHub Actions.
  • 10%: Collaboration & Strategy – Working closely with founders, AI researchers, and product teams to align on roadmaps and technical decisions.

The Offer
  • Equity eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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